Instructions to use declare-lab/dialect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use declare-lab/dialect with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("declare-lab/dialect") model = AutoModelForMultimodalLM.from_pretrained("declare-lab/dialect") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67d6615f2b6d86f8e640297b5cff4c13110a51ea9abd889215ddc1d0eaba3f79
- Size of remote file:
- 5.35 MB
- SHA256:
- e4af74482a53cd21b759e7be6d64a671dcf01119f7588761aee10e096a67ecdd
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