Instructions to use DeepSoftwareAnalytics/CoCoSoDa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepSoftwareAnalytics/CoCoSoDa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DeepSoftwareAnalytics/CoCoSoDa")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("DeepSoftwareAnalytics/CoCoSoDa") model = AutoModelForMultimodalLM.from_pretrained("DeepSoftwareAnalytics/CoCoSoDa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9192ed61068b7eb0dace0cb49c84958d3804df64551cd5274e70b7a03967584
- Size of remote file:
- 504 MB
- SHA256:
- b8f3ecebf18c951dba012ca368359981251660c0783fb89ec14e3cf69445f1d8
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