Instructions to use VMware/roberta-large-mrqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VMware/roberta-large-mrqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="VMware/roberta-large-mrqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("VMware/roberta-large-mrqa") model = AutoModelForQuestionAnswering.from_pretrained("VMware/roberta-large-mrqa") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (d753061fbc927720e8016e5795703c722b9a4cde)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b547fa9069baf58d7f9c7ba6d3ac12e362348d0e7fb9dc0d5ee5742ca6e0a4d8
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size 1417301000
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