Instructions to use nlpunibo/roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpunibo/roberta with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="nlpunibo/roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nlpunibo/roberta") model = AutoModelForQuestionAnswering.from_pretrained("nlpunibo/roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nlpunibo/roberta: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/nlpunibo/roberta/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nlpunibo/roberta/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nlpunibo/roberta/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- ca2150152ae5532e115deee8eb72e19d057b2c7fe8df193eb96a7d00637e7614
- Size of remote file:
- 496 MB
- SHA256:
- 769c2243bef00fe4d0923b22483c8620aba84476b5df51227e8031ac2d214a0f
路
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