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
- Xet hash:
- a4e45ee5f50f7eaa72d47748dd923c991e607b3b8561d6d791e00c949ef22562
- Size of remote file:
- 433 MB
- SHA256:
- f11f9c29b5c2c1618231be9738962352853421272e2df078382d36f36ab76782
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