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 flax_model.msgpack from nlpunibo/roberta: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/nlpunibo/roberta/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://nlpunibo/roberta/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/nlpunibo/roberta/resolve/main/flax_model.msgpack
496 MB
- Xet hash:
- 96be60640578c25f63b7134e129f4fe6791e35ace7301e622e4184e0b5eb5e8e
- Size of remote file:
- 496 MB
- SHA256:
- f1ba77a86caf7cd185abad073dfd2345937ddab104d86524f44f8cffb0d6c29b
路
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