Instructions to use luohy/rgx-qa-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luohy/rgx-qa-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="luohy/rgx-qa-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("luohy/rgx-qa-v2") model = AutoModelForQuestionAnswering.from_pretrained("luohy/rgx-qa-v2") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6de09dd8d98c133e3f00b3de37880a4f7d6cf3f9a65c24b08f9062252f5c9a4b
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size 1336550007
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