Instructions to use dbernsohn/roberta-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dbernsohn/roberta-java with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dbernsohn/roberta-java")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dbernsohn/roberta-java") model = AutoModelForMaskedLM.from_pretrained("dbernsohn/roberta-java", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from dbernsohn/roberta-java: direct link, hf CLI and curl.
- Browser
- Download file 391 Bytes
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https://huggingface.co/dbernsohn/roberta-java/resolve/refs%2Fpr%2F1/.gitattributes
- Command line
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hf download hf://dbernsohn/roberta-java@refs/pr/1/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/dbernsohn/roberta-java/resolve/refs%2Fpr%2F1/.gitattributes
391 Bytes
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