Instructions to use dbernsohn/roberta-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dbernsohn/roberta-python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dbernsohn/roberta-python")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dbernsohn/roberta-python") model = AutoModelForMaskedLM.from_pretrained("dbernsohn/roberta-python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from dbernsohn/roberta-python: direct link, hf CLI and curl.
- Browser
- Download file 334 MB
-
https://huggingface.co/dbernsohn/roberta-python/resolve/refs%2Fpr%2F2/model.safetensors
- Command line
-
hf download hf://dbernsohn/roberta-python@refs/pr/2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/dbernsohn/roberta-python/resolve/refs%2Fpr%2F2/model.safetensors
334 MB
- Xet hash:
- 5888ded787f248f861d7501e918e414e092acdd84371ab80847535d490f08721
- Size of remote file:
- 334 MB
- SHA256:
- 97e2738e33a3f2e811c04f64d65663c028570794640c0e535f9c1d9ec19d0d78
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