Instructions to use valhalla/t5-base-qg-hl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valhalla/t5-base-qg-hl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("valhalla/t5-base-qg-hl") model = AutoModelForSeq2SeqLM.from_pretrained("valhalla/t5-base-qg-hl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from valhalla/t5-base-qg-hl: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/valhalla/t5-base-qg-hl/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://valhalla/t5-base-qg-hl/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/valhalla/t5-base-qg-hl/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 339a6bc8a0371e9737e226a6edd5342e3ff08ca61ddb97902a46ef0de8363a30
- Size of remote file:
- 892 MB
- SHA256:
- 417f38a3d686f6d1ca264410066083f0c06aacecfc496d5d72415eed964d8d7e
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