Instructions to use contemmcm/36e4a4f4479205827cbaeb7182497736 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use contemmcm/36e4a4f4479205827cbaeb7182497736 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("contemmcm/36e4a4f4479205827cbaeb7182497736") model = AutoModelForSeq2SeqLM.from_pretrained("contemmcm/36e4a4f4479205827cbaeb7182497736", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 871e2df71a2ad9623c2e3eacc70fa5abec5d6e1f55e5d0a4af8b47e3c14dc7b8
- Size of remote file:
- 5 GB
- SHA256:
- 6ec8c3bda7106b3d06eac50c0755e1d3e4b1a27c596166070d98a31c45dc69b0
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