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:
- b0bc0822a3ba3162cf45e87e9b97c725db6013c3a1da8e2bdf2b12ad739753dc
- Size of remote file:
- 998 MB
- SHA256:
- 0702de0e54097ce7a9fa29c1bc9cc629c3540286973d92b3fcf9d2c2ec8a32a1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.