Instructions to use kktoto/tiny_focal_ckpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kktoto/tiny_focal_ckpt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kktoto/tiny_focal_ckpt")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kktoto/tiny_focal_ckpt") model = AutoModelForTokenClassification.from_pretrained("kktoto/tiny_focal_ckpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kktoto/tiny_focal_ckpt: direct link, hf CLI and curl.
- Browser
- Download file 45.3 MB
-
https://huggingface.co/kktoto/tiny_focal_ckpt/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kktoto/tiny_focal_ckpt/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kktoto/tiny_focal_ckpt/resolve/main/pytorch_model.bin
45.3 MB
- Xet hash:
- 6b37460182b889dc5db91eacd29717f107f8f8547b0572f373c20817fbf9160a
- Size of remote file:
- 45.3 MB
- SHA256:
- 06a4805654610fde173fb73144af07871089b377e8c46aec28c834aaebad5b4c
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