Instructions to use ggoggam/spanbert-base-cased-coref with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ggoggam/spanbert-base-cased-coref with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ggoggam/spanbert-base-cased-coref")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ggoggam/spanbert-base-cased-coref") model = AutoModel.from_pretrained("ggoggam/spanbert-base-cased-coref") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 57a236f
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:f11f9c29b5c2c1618231be9738962352853421272e2df078382d36f36ab76782
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size 433248237
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