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:
- 67f7ba6703032a33ef0ee1ccffb58d27c899688b8ac6c564658fafbde6ff544d
- Size of remote file:
- 334 MB
- SHA256:
- 513604141e1857e33a55e834a01a26a99627b69a7627a4da4707cf747fd2d06d
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