Instructions to use geronimo/RobertaBNE2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use geronimo/RobertaBNE2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="geronimo/RobertaBNE2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("geronimo/RobertaBNE2") model = AutoModel.from_pretrained("geronimo/RobertaBNE2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from geronimo/RobertaBNE2: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/geronimo/RobertaBNE2/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://geronimo/RobertaBNE2@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/geronimo/RobertaBNE2/resolve/refs%2Fpr%2F1/pytorch_model.bin
499 MB
- Xet hash:
- b7b11c74f8aa89bf17706ba7360a8692eebd83514169be02e3801b8bdc171755
- Size of remote file:
- 499 MB
- SHA256:
- f56d92ab039ea5a2aa84bc46d70df3841f6af1ccb4b6380a4f040f72e887fd27
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