Instructions to use oooriii/cat5-solr-ft_tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oooriii/cat5-solr-ft_tmp with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("oooriii/cat5-solr-ft_tmp") model = AutoModelForSeq2SeqLM.from_pretrained("oooriii/cat5-solr-ft_tmp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from oooriii/cat5-solr-ft_tmp: direct link, hf CLI and curl.
- Browser
- Download file 977 MB
-
https://huggingface.co/oooriii/cat5-solr-ft_tmp/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://oooriii/cat5-solr-ft_tmp/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/oooriii/cat5-solr-ft_tmp/resolve/main/pytorch_model.bin
977 MB
- Xet hash:
- 2c47605066780d94cb7d9ed60f5a7e2eae60f052b56d152c633a289fdf25045d
- Size of remote file:
- 977 MB
- SHA256:
- 01805b8608ae2ccf8e1da83f80d00370a53234dec3c3c14370a6a5d024ff485e
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