Instructions to use ClassCat/roberta-base-french with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClassCat/roberta-base-french with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ClassCat/roberta-base-french")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ClassCat/roberta-base-french") model = AutoModelForMaskedLM.from_pretrained("ClassCat/roberta-base-french") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b1556e4691a9ca9662b791a4bb0448de577bfbfa5f674de0f00db1aecc00ee4
- Size of remote file:
- 498 MB
- SHA256:
- 2fd547cea5490e20ff4b889294c9e6f9936f20bb3e8eaf262972c10d692acfc1
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