Instructions to use kktoto/tiny_focal_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kktoto/tiny_focal_v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kktoto/tiny_focal_v3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kktoto/tiny_focal_v3") model = AutoModelForTokenClassification.from_pretrained("kktoto/tiny_focal_v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kktoto/tiny_focal_v3: direct link, hf CLI and curl.
- Browser
- Download file 3.25 kB
-
https://huggingface.co/kktoto/tiny_focal_v3/resolve/main/training_args.bin
- Command line
-
hf download hf://kktoto/tiny_focal_v3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kktoto/tiny_focal_v3/resolve/main/training_args.bin
3.25 kB
- Xet hash:
- 3ca700b49925620ccdb3e062440189e0a4743da9cf8d0fb94c77dedd623f0531
- Size of remote file:
- 3.25 kB
- SHA256:
- fee1ef5693d634f8ee3323549321db37aca4ecfbfd5f6c76690fc03d7ffd6a5d
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