Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use LarryTW/llm_NLP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LarryTW/llm_NLP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LarryTW/llm_NLP")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LarryTW/llm_NLP") model = AutoModelForSequenceClassification.from_pretrained("LarryTW/llm_NLP") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52b724346f6ccec18ddaff3a7a6a5abe7e63753e4ba221fa4a17e0eb9953524c
- Size of remote file:
- 268 MB
- SHA256:
- 1c18f088ad3484b7949435a2e6c71218b17eabd3f720c94f95032724bf7933e2
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