Instructions to use jaimin/Active_to_passive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaimin/Active_to_passive with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("jaimin/Active_to_passive") model = AutoModelForMultimodalLM.from_pretrained("jaimin/Active_to_passive") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 471f208b97bbd39539a0fe82151683ea5fb458c3b701dc1b7555094aaeb4c792
- Size of remote file:
- 242 MB
- SHA256:
- eea133f89051d3d32c7f6070a7675311eaac9b0cd8980812fa779094849c5f5e
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