Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use gsl22/ellis-chat-classify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsl22/ellis-chat-classify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gsl22/ellis-chat-classify")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gsl22/ellis-chat-classify") model = AutoModelForSequenceClassification.from_pretrained("gsl22/ellis-chat-classify", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gsl22/ellis-chat-classify: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/gsl22/ellis-chat-classify/resolve/main/training_args.bin
- Command line
-
hf download hf://gsl22/ellis-chat-classify/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gsl22/ellis-chat-classify/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 4d3f40944bb92f539f9f52bd93f257845cba4a94d02131c0e561ec31ee536bc9
- Size of remote file:
- 3.96 kB
- SHA256:
- b3fc2a034a6db8cb4bcb2826c54f64014e419ba3a48f4c604f77fbf7ff48f8d4
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