Instructions to use panapelli/RobertaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use panapelli/RobertaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="panapelli/RobertaModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("panapelli/RobertaModel") model = AutoModel.from_pretrained("panapelli/RobertaModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from panapelli/RobertaModel: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/panapelli/RobertaModel/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://panapelli/RobertaModel/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/panapelli/RobertaModel/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 057c12a89f80d95c30ba99463bf86f588b4f612fa459189517b9a03428acb012
- Size of remote file:
- 499 MB
- SHA256:
- fc4e8e7e6e021eb92f25cfa7377cfe96911d7223bd19f9e8f46c87ebb5f5135b
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