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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ecec9a9fa15008e7e9f99dc39e419351918638b16d1dae83892332f82bb336f0
- Size of remote file:
- 334 MB
- SHA256:
- f51caa88009a13241a0721b0754eef632ff8fb35f4a55296409902288a56fefd
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