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:
- edaf8852a003daebc3ddba22eb204f2d5624043a16f822fb325f9ee90a7fa038
- Size of remote file:
- 1.97 GB
- SHA256:
- 146d33a3c30bdde7f897d914b4996e5ec12e6f8fcf115c79749f689f5965205d
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