Instructions to use abhilash1910/french-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhilash1910/french-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="abhilash1910/french-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("abhilash1910/french-roberta") model = AutoModelForMaskedLM.from_pretrained("abhilash1910/french-roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c18d6a4667c786e12edf8c732cdc508125e346df46f33ab607876b7ded82150
- Size of remote file:
- 273 MB
- SHA256:
- 9b8abfb0fa83effbd9ec034fa1f6d7f459daf594f922be15c996d86c22d70664
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