Instructions to use mbruton/gal_pt_mBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbruton/gal_pt_mBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mbruton/gal_pt_mBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mbruton/gal_pt_mBERT") model = AutoModelForTokenClassification.from_pretrained("mbruton/gal_pt_mBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a90fb8d790fb7e2256a83996db29609deaaf0c54b86bdd23d6b055b32f00e72e
- Size of remote file:
- 709 MB
- SHA256:
- c40bb8048ab950c5b3507fcdf9863a438f3268ec23662eafe8a9be7dfab0d872
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