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 training_args.bin from vegetable/test: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/vegetable/test/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://vegetable/test@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vegetable/test/resolve/refs%2Fpr%2F1/training_args.bin
2.99 kB
- Xet hash:
- 95b7e2250520ec1d1453cc1edaeeebdb9192c931f6b866b5628c74a0d22edba4
- Size of remote file:
- 2.99 kB
- SHA256:
- fc50201a2193c1554bd17fdedd43b2b64a03d458f9363780c0ef9d8867e7ac25
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