Instructions to use sello-ralethe/roberta-base-generics-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sello-ralethe/roberta-base-generics-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sello-ralethe/roberta-base-generics-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sello-ralethe/roberta-base-generics-mlm") model = AutoModelForMaskedLM.from_pretrained("sello-ralethe/roberta-base-generics-mlm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c740ee932b55357e72c531c8a777dce4fb399e11278d821e8dacf97ff30944e
- Size of remote file:
- 499 MB
- SHA256:
- ae469d1c8362c99bac06526e2b8d4e2b4f287d47f1b48b0013cd7703a94879aa
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