Instructions to use AndyChiang/Pre-CoFactv3-Question-Answering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndyChiang/Pre-CoFactv3-Question-Answering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AndyChiang/Pre-CoFactv3-Question-Answering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AndyChiang/Pre-CoFactv3-Question-Answering") model = AutoModelForQuestionAnswering.from_pretrained("AndyChiang/Pre-CoFactv3-Question-Answering") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:72db28e9121429e04fd5bc191b40a25a2b9e94a88bfd42eb5073a10c014b22a3
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size 1736105880
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