Instructions to use PSW/qmsumgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PSW/qmsumgen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PSW/qmsumgen") model = AutoModelForSeq2SeqLM.from_pretrained("PSW/qmsumgen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PSW/qmsumgen: direct link, hf CLI and curl.
- Browser
- Download file 1.07 GB
-
https://huggingface.co/PSW/qmsumgen/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PSW/qmsumgen/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PSW/qmsumgen/resolve/main/pytorch_model.bin
1.07 GB
- Xet hash:
- 566a37e33ed416c3233ba8ae9b91dc5d61d55540d17cee85f2241921cb1b7331
- Size of remote file:
- 1.07 GB
- SHA256:
- a960f686e1ea08e7638b10576ccd5602836c217ac7b772cbd4ea602ca5901cce
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