Instructions to use contemmcm/c35a0c5546f057046f21c4fef3ac43ce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use contemmcm/c35a0c5546f057046f21c4fef3ac43ce with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("contemmcm/c35a0c5546f057046f21c4fef3ac43ce") model = AutoModelForMultimodalLM.from_pretrained("contemmcm/c35a0c5546f057046f21c4fef3ac43ce") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa027ce697a95aa71bbdd1014c9f6c5237e2930bace4428c90e0b0a1ce82f795
- Size of remote file:
- 1.95 GB
- SHA256:
- 6d3c108487701006ff266c6d3eb3f7389655ae4e06b6c776b984690a5717dffd
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