Instructions to use kktoto/tiny_focal_v2_label with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kktoto/tiny_focal_v2_label with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kktoto/tiny_focal_v2_label")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kktoto/tiny_focal_v2_label") model = AutoModelForTokenClassification.from_pretrained("kktoto/tiny_focal_v2_label", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kktoto/tiny_focal_v2_label: direct link, hf CLI and curl.
- Browser
- Download file 45.3 MB
-
https://huggingface.co/kktoto/tiny_focal_v2_label/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kktoto/tiny_focal_v2_label/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kktoto/tiny_focal_v2_label/resolve/main/pytorch_model.bin
45.3 MB
- Xet hash:
- bcc8733e6c493efbf9fc088398ac491f24f77b9453847b3a88bb7ba58190e7d0
- Size of remote file:
- 45.3 MB
- SHA256:
- b6c7c8622207bd0199143afed0459b85222997cdb4bdf441c77866280e4430a6
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