Update spaCy pipeline
Browse files- README.md +9 -9
- meta.json +15 -15
- ner/model +1 -1
- ner/moves +1 -1
- tok2vec/model +1 -1
- vocab/strings.json +2 -2
- xx_eb_ner-any-py3-none-any.whl +2 -2
README.md
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@@ -14,13 +14,13 @@ model-index:
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metrics:
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- name: NER Precision
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type: precision
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value: 0.
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- name: NER Recall
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type: recall
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value: 0.
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- name: NER F Score
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type: f_score
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value: 0.
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---
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### Usage
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Install the model via pip:
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@@ -48,7 +48,7 @@ nlp = xx_eb_ner.load()
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| Feature | Description |
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| --- | --- |
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| **Name** | `xx_eb_ner` |
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| **Version** | `0.
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| **spaCy** | `>=3.8.7,<3.9.0` |
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| **Default Pipeline** | `tok2vec`, `ner` |
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| **Components** | `tok2vec`, `ner` |
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@@ -73,8 +73,8 @@ nlp = xx_eb_ner.load()
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| Type | Score |
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| --- | --- |
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| `ENTS_F` |
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| `ENTS_P` |
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| `ENTS_R` |
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| `TOK2VEC_LOSS` |
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| `NER_LOSS` |
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metrics:
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- name: NER Precision
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type: precision
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value: 0.9097127583
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- name: NER Recall
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type: recall
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value: 0.8931314272
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- name: NER F Score
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type: f_score
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value: 0.9013458409
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---
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### Usage
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Install the model via pip:
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| Feature | Description |
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| --- | --- |
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| **Name** | `xx_eb_ner` |
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| **Version** | `0.9.0` |
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| **spaCy** | `>=3.8.7,<3.9.0` |
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| **Default Pipeline** | `tok2vec`, `ner` |
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| **Components** | `tok2vec`, `ner` |
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| Type | Score |
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| --- | --- |
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| `ENTS_F` | 90.13 |
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| `ENTS_P` | 90.97 |
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| `ENTS_R` | 89.31 |
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| `TOK2VEC_LOSS` | 4436612.42 |
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| `NER_LOSS` | 1508716.21 |
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meta.json
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{
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"lang":"xx",
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"name":"eb_ner",
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"version":"0.
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"description":"### Usage\nInstall the model via pip:\n```shell\npip install https://huggingface.co/philipp-zettl/xx_eb_ner/resolve/main/xx_eb_ner-any-py3-none-any.whl\n```\n\nFor specific versions, please use the commits provided in the [source repository](https://huggingface.co/philipp-zettl/xx_eb_ner).\nExample: version 0.1.0\n```shell\npip install https://huggingface.co/philipp-zettl/xx_eb_ner/resolve/c8585148cabcfd04feec0745c17b148a48933f45/xx_eb_ner-any-py3-none-any.whl\n```\n\nAfter installing the model with it's dependencies, you can use it like any other SpaCy model:\n```python\n# Using spacy.load().\nimport spacy\nnlp = spacy.load(\"xx_eb_ner\")\n# Importing as module.\nimport xx_eb_ner\nnlp = xx_eb_ner.load()\n```\n",
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"author":"Philipp Zettl",
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"email":"[email protected]",
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],
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"performance":{
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"ents_f":0.
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"ents_p":0.
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"ents_r":0.
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"ents_per_type":{
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"JOB_TITLE":{
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"COURSE_NAME":{
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"f":0.
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"LOCATION":{
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"r":0.
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"f":0.
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}
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},
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"tok2vec_loss":
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"ner_loss":
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},
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"requirements":[
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{
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"lang":"xx",
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"name":"eb_ner",
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"version":"0.9.0",
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"description":"### Usage\nInstall the model via pip:\n```shell\npip install https://huggingface.co/philipp-zettl/xx_eb_ner/resolve/main/xx_eb_ner-any-py3-none-any.whl\n```\n\nFor specific versions, please use the commits provided in the [source repository](https://huggingface.co/philipp-zettl/xx_eb_ner).\nExample: version 0.1.0\n```shell\npip install https://huggingface.co/philipp-zettl/xx_eb_ner/resolve/c8585148cabcfd04feec0745c17b148a48933f45/xx_eb_ner-any-py3-none-any.whl\n```\n\nAfter installing the model with it's dependencies, you can use it like any other SpaCy model:\n```python\n# Using spacy.load().\nimport spacy\nnlp = spacy.load(\"xx_eb_ner\")\n# Importing as module.\nimport xx_eb_ner\nnlp = xx_eb_ner.load()\n```\n",
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"author":"Philipp Zettl",
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"email":"[email protected]",
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],
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"performance":{
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"ents_f":0.9013458409,
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"ents_p":0.9097127583,
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"ents_r":0.8931314272,
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"ents_per_type":{
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"JOB_TITLE":{
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"p":0.8843176089,
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"r":0.8713397266,
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"f":0.8777807013
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},
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"COURSE_NAME":{
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"p":0.8996066287,
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"r":0.8754178714,
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"f":0.8873474366
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},
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"LOCATION":{
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"p":0.934772018,
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"r":0.9265797124,
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"f":0.9306578369
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}
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},
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"tok2vec_loss":44366.1242028021,
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"ner_loss":15087.162109375
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},
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"requirements":[
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ner/model
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ner/moves
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tok2vec/model
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vocab/strings.json
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xx_eb_ner-any-py3-none-any.whl
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