Instructions to use jerome1519/t5-small-finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jerome1519/t5-small-finetuned-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jerome1519/t5-small-finetuned-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("jerome1519/t5-small-finetuned-xsum") - Notebooks
- Google Colab
- Kaggle
Jérôme Bau commited on
Commit ·
adfdfde
1
Parent(s): b4288b4
Training in progress, step 1500
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 242071641
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b019537308897c4bd7e3361e376250c76a1ed853342286c64a49420ae51cceb8
|
| 3 |
size 242071641
|