Instructions to use noahjadallah/cause-effect-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use noahjadallah/cause-effect-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="noahjadallah/cause-effect-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("noahjadallah/cause-effect-detection") model = AutoModelForTokenClassification.from_pretrained("noahjadallah/cause-effect-detection") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 77b0fa8
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:8288362d763f5b30bd259dd1a04dc2555d2c48564b243644ba8ddcf87ee02b7d
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size 435589114
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