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:
- 0b09a4b258ac68bac8b043306c78a587d0293e234075353485bb51dcdca9bb84
- Size of remote file:
- 2.93 kB
- SHA256:
- 6d5da75eff141de52853370d8034a224c15694d984fcfeed97373891a4d4a097
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