Instructions to use csarron/roberta-base-squad-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use csarron/roberta-base-squad-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="csarron/roberta-base-squad-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("csarron/roberta-base-squad-v1") model = AutoModelForQuestionAnswering.from_pretrained("csarron/roberta-base-squad-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
b78e35e
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Parent(s): bcf5cf7
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:501d986b949a9f1ac41a976fdfa041509b6909b8b381dc08565e87ee99293804
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size 496233457
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