Instructions to use mbruton/gal_sp_mBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbruton/gal_sp_mBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mbruton/gal_sp_mBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mbruton/gal_sp_mBERT") model = AutoModelForTokenClassification.from_pretrained("mbruton/gal_sp_mBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4279b06b84472fd3f93ebd4c9cf40cb9a61f291e69d5c6bbf15ff71621749e78
- Size of remote file:
- 3.5 kB
- SHA256:
- 91208781d779f9188be4792bdcaa4c3a23be443f8f16c38d0acc8e70be49af12
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