Instructions to use FredDYyy/roberta-base-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FredDYyy/roberta-base-squadv2 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="FredDYyy/roberta-base-squadv2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("FredDYyy/roberta-base-squadv2") model = AutoModelForQuestionAnswering.from_pretrained("FredDYyy/roberta-base-squadv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from FredDYyy/roberta-base-squadv2: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/FredDYyy/roberta-base-squadv2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://FredDYyy/roberta-base-squadv2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/FredDYyy/roberta-base-squadv2/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- bd923324def19d307b72928792970ec29929cf28b44d9defd830a092c885d14f
- Size of remote file:
- 496 MB
- SHA256:
- a7ca4b2611371f643512271d1576a1d461b95c0386e94d849257421423d6693b
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