Instructions to use vinayak361/token_final_tunned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinayak361/token_final_tunned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vinayak361/token_final_tunned")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vinayak361/token_final_tunned") model = AutoModelForTokenClassification.from_pretrained("vinayak361/token_final_tunned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from vinayak361/token_final_tunned: direct link, hf CLI and curl.
- Browser
- Download file 266 MB
-
https://huggingface.co/vinayak361/token_final_tunned/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://vinayak361/token_final_tunned/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/vinayak361/token_final_tunned/resolve/main/pytorch_model.bin
266 MB
- Xet hash:
- 49fd13afb062de58dae44f633c963fd8d2deed7e2bc752c0393f99bcf146a8d9
- Size of remote file:
- 266 MB
- SHA256:
- 3a3d1f87105716af1453a713891dbb8934376b284a77e768d626117e7d201d98
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