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 training_args.bin from kktoto/tiny_focal_ckpt: direct link, hf CLI and curl.
- Browser
- Download file 3.31 kB
-
https://huggingface.co/kktoto/tiny_focal_ckpt/resolve/main/training_args.bin
- Command line
-
hf download hf://kktoto/tiny_focal_ckpt/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kktoto/tiny_focal_ckpt/resolve/main/training_args.bin
3.31 kB
- Xet hash:
- a3e7d1f460e5654ac75c57f1eaa3df56e2d5ae269d588ee8d12bed5e254e1e64
- Size of remote file:
- 3.31 kB
- SHA256:
- 597493c44a3db97a6bc33260ac7a35d545e4ebbe288c1e146c663ef4d2674639
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