Instructions to use dbernsohn/roberta-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dbernsohn/roberta-python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dbernsohn/roberta-python")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dbernsohn/roberta-python") model = AutoModelForMaskedLM.from_pretrained("dbernsohn/roberta-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5888ded787f248f861d7501e918e414e092acdd84371ab80847535d490f08721
- Size of remote file:
- 334 MB
- SHA256:
- 97e2738e33a3f2e811c04f64d65663c028570794640c0e535f9c1d9ec19d0d78
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