Instructions to use judithrosell/ST_MAT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use judithrosell/ST_MAT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="judithrosell/ST_MAT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("judithrosell/ST_MAT") model = AutoModelForTokenClassification.from_pretrained("judithrosell/ST_MAT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 566ddc2e1edab410369c0f786517ac45faff9865f7b38dfc4bc614aa253a59e4
- Size of remote file:
- 5.18 kB
- SHA256:
- cc13a2ec7931a3d5e05e78306e6055779d4ca730374d4cba24dc1f5556ecc938
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