Instructions to use AnonymousSub/T5_pubmedqa_question_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/T5_pubmedqa_question_generation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/T5_pubmedqa_question_generation") model = AutoModelForSeq2SeqLM.from_pretrained("AnonymousSub/T5_pubmedqa_question_generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AnonymousSub/T5_pubmedqa_question_generation: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/AnonymousSub/T5_pubmedqa_question_generation/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AnonymousSub/T5_pubmedqa_question_generation/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AnonymousSub/T5_pubmedqa_question_generation/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 2976ddfdcb84955f16226ac349ada954d35ac27176381f79410e130aba008410
- Size of remote file:
- 892 MB
- SHA256:
- d449a3f7c96cf0f1d7b28911f7b9cf2422453a8ad5862d149ca2a74d33168bba
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