Instructions to use leonweber/foo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leonweber/foo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="leonweber/foo")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("leonweber/foo") model = AutoModelForTokenClassification.from_pretrained("leonweber/foo") - Notebooks
- Google Colab
- Kaggle
add model
Browse files- config.json +0 -0
- pytorch_model.bin +3 -0
config.json
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8500b8fde6010051e32ecb88152738bab5c656163f3c5125a031255ed2fde348
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size 451664173
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