Instructions to use dbernsohn/roberta-javascript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dbernsohn/roberta-javascript with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dbernsohn/roberta-javascript")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dbernsohn/roberta-javascript") model = AutoModelForMaskedLM.from_pretrained("dbernsohn/roberta-javascript") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49d5588110181ab4d1066fe1f949f9e0cdb134dda061cc7924163fa03e45740f
- Size of remote file:
- 334 MB
- SHA256:
- f1fdc7a00a938a155a6bebdd176be38d5aba15e31676f7fcfa49b597a4d9fc2e
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