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
Download flax_model.msgpack from csarron/roberta-base-squad-v1: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/csarron/roberta-base-squad-v1/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://csarron/roberta-base-squad-v1/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/csarron/roberta-base-squad-v1/resolve/main/flax_model.msgpack
496 MB
- Xet hash:
- b1755b3a8a82236989d7f49e51473ae3ac6ee52d10dfba6d5d07a19f0ea189cf
- Size of remote file:
- 496 MB
- SHA256:
- 501d986b949a9f1ac41a976fdfa041509b6909b8b381dc08565e87ee99293804
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