Instructions to use Dundalia/T5_HotPotQA_reader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dundalia/T5_HotPotQA_reader with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Dundalia/T5_HotPotQA_reader") model = AutoModelForSeq2SeqLM.from_pretrained("Dundalia/T5_HotPotQA_reader") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:9853c2827c467a4126d8a3799949de8f73d90d9f1f83f07bff1768dd7fbf1a54
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size 242042016
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