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 pytorch_model.bin from gsl22/ellis-chat-classify: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/gsl22/ellis-chat-classify/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://gsl22/ellis-chat-classify/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/gsl22/ellis-chat-classify/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 55bd71d350f21a70d55880347061e033ebd3164474c3ce18dde8494c0aede9c5
- Size of remote file:
- 268 MB
- SHA256:
- 969d9cdb3d2019eb8d6bb774c659315d037f3c9f3469bb97e9eeda1dbc26ec65
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