Instructions to use benjamin/roberta-base-wechsel-french with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benjamin/roberta-base-wechsel-french with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="benjamin/roberta-base-wechsel-french")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("benjamin/roberta-base-wechsel-french") model = AutoModelForMaskedLM.from_pretrained("benjamin/roberta-base-wechsel-french", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4b2102aff3445344a41851858738c3083f56fd7c812d8ffe114e181c7ee6e02
- Size of remote file:
- 499 MB
- SHA256:
- f9d988469d73532d52e1102acbe98704ea4c3f86484978202d100b07a47a6787
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