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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7488f265bcf9296ad56a5c6c05f0ba702444a787846ae0864028ce12c1506f36
- Size of remote file:
- 3.5 kB
- SHA256:
- 999e47d0e57ea1a36c9092deb6b1fe05b1351f5189bf370df1e0c1d68c5798a6
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