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 pytorch_model.bin from csarron/roberta-base-squad-v1: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/csarron/roberta-base-squad-v1/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://csarron/roberta-base-squad-v1@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/csarron/roberta-base-squad-v1/resolve/refs%2Fpr%2F1/pytorch_model.bin
499 MB
- Xet hash:
- 37916c2309c9a06317aeff1194128e4221da0483c0ac5176a4c69b4f34044465
- Size of remote file:
- 499 MB
- SHA256:
- 120d5fbb9276a99bfe68db92e46d30c3d81e6b38cdd676222219a966f04b1e14
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