Instructions to use SaraPiscitelli/roberta-base-qa-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SaraPiscitelli/roberta-base-qa-v1 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="SaraPiscitelli/roberta-base-qa-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("SaraPiscitelli/roberta-base-qa-v1") model = AutoModelForQuestionAnswering.from_pretrained("SaraPiscitelli/roberta-base-qa-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
30575fe -
Update README.md
91e8d4a -
Update README.md
03745f9 -
Update README.md
0dfc731 -
Update README.md
1891c96 -
Update README.md
47c836f -
Update README.md
ac472cf -
Update README.md
c0bb917 -
Update README.md
Updated README37cd8ca -
Upload 5 files
Added model3f17767 -
initial commit
3e79479