Instructions to use geronimo/RobertaBNE23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use geronimo/RobertaBNE23 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="geronimo/RobertaBNE23")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("geronimo/RobertaBNE23") model = AutoModel.from_pretrained("geronimo/RobertaBNE23", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from geronimo/RobertaBNE23: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/geronimo/RobertaBNE23/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://geronimo/RobertaBNE23/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/geronimo/RobertaBNE23/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 84bca6fcda8c0313769c1be00fab41bbd65ead2fecf04e667f5f455087bbde44
- Size of remote file:
- 499 MB
- SHA256:
- 7ac44d61798b38eaa4e9d32d613a18475076ade5462bd80519a36d728dfce7a9
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