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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d638e798585e03cbafac3ceca58c35e752a2bf1c944221c67bfa27288cef239
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size 496257524
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