Instructions to use hoanhtu/large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hoanhtu/large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hoanhtu/large")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hoanhtu/large") model = AutoModelForQuestionAnswering.from_pretrained("hoanhtu/large") - 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:a5b6742102e5bcab9a8052dfaaf84216f6362c96b525af14de45534c55b9a42e
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size 2235529457
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