Instructions to use ishanarang/fine-tuned-model-without-context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ishanarang/fine-tuned-model-without-context with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ishanarang/fine-tuned-model-without-context", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ishanarang/fine-tuned-model-without-context: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/ishanarang/fine-tuned-model-without-context/resolve/main/tokenizer.json
- Command line
-
hf download hf://ishanarang/fine-tuned-model-without-context/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ishanarang/fine-tuned-model-without-context/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 97e30eb85e84fe19dd4291a4785ab4ccbc428632856d546aece6d740716e30ca
- Size of remote file:
- 17.2 MB
- SHA256:
- 45db7a63ec5b8a460e87ac3603dc890b2e89ae4fdb40b90c5f39eadf8e5a946a
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