Instructions to use kulibinai/cadena with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kulibinai/cadena with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="kulibinai/cadena")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kulibinai/cadena", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9634a13dce23097940ed18824bf83f15fb90710cb158f7ae03a04ac6043c6ba6
- Size of remote file:
- 11.4 MB
- SHA256:
- 091aa7594dc2fcfbfa06b9e3c22a5f0562ac14f30375c13af7309407a0e67b8a
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