Instructions to use InriaValda/cc_math_roberta_ep10_definiendum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InriaValda/cc_math_roberta_ep10_definiendum with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="InriaValda/cc_math_roberta_ep10_definiendum")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("InriaValda/cc_math_roberta_ep10_definiendum") model = AutoModelForTokenClassification.from_pretrained("InriaValda/cc_math_roberta_ep10_definiendum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c954640308a1fc01c353f76de0639923413121afe6b49c03f3f16a5c2b2892b
- Size of remote file:
- 496 MB
- SHA256:
- 58289c92e710352ea8b54744609781f613c32756e27cb03efef083999e411c65
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