Instructions to use YChang1112/basis_extraction_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YChang1112/basis_extraction_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="YChang1112/basis_extraction_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("YChang1112/basis_extraction_model") model = AutoModelForTokenClassification.from_pretrained("YChang1112/basis_extraction_model") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6b2a5567302d6d592f1b1c7ea7a42d3ccc9c8f5059481c1b0a03efabe7811bd8
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size 532300164
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