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 pytorch_model.bin from kktoto/tiny_focal_v3: direct link, hf CLI and curl.
- Browser
- Download file 45.3 MB
-
https://huggingface.co/kktoto/tiny_focal_v3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kktoto/tiny_focal_v3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kktoto/tiny_focal_v3/resolve/main/pytorch_model.bin
45.3 MB
- Xet hash:
- e7a500f8f757fb40b7bafe5d2b941455a2c418514954d9862ccde704c067baf5
- Size of remote file:
- 45.3 MB
- SHA256:
- c9ac66892728b8fe7eefe4ae85a8871e8a1422430cb0b8fd57aea8144b117b22
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