Instructions to use kktoto/tiny_bb_wd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kktoto/tiny_bb_wd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kktoto/tiny_bb_wd")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kktoto/tiny_bb_wd") model = AutoModelForTokenClassification.from_pretrained("kktoto/tiny_bb_wd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kktoto/tiny_bb_wd: direct link, hf CLI and curl.
- Browser
- Download file 45.3 MB
-
https://huggingface.co/kktoto/tiny_bb_wd/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kktoto/tiny_bb_wd/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kktoto/tiny_bb_wd/resolve/main/pytorch_model.bin
45.3 MB
- Xet hash:
- 638e3c187ae216a59376bf6b6126b0fdaf6d36526394f2c502f091eee3130306
- Size of remote file:
- 45.3 MB
- SHA256:
- f325e07757c7e2ab9b4b8debffe48d910037025bfc0b90c867c9779d872b57a9
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