Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use vegetable/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vegetable/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vegetable/test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vegetable/test") model = AutoModelForTokenClassification.from_pretrained("vegetable/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from vegetable/test: direct link, hf CLI and curl.
- Browser
- Download file 407 MB
-
https://huggingface.co/vegetable/test/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://vegetable/test@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/vegetable/test/resolve/refs%2Fpr%2F1/pytorch_model.bin
407 MB
- Xet hash:
- b547469c18454d70e7aa764fff314c3db2b1ca575668d2b69e29e085229075a5
- Size of remote file:
- 407 MB
- SHA256:
- 72dc7a7d486b3eed3d1c26df4eb1e9bd0fec50988bce0b8f76d6723b8a141734
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