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, AutoModel tokenizer = AutoTokenizer.from_pretrained("DeepSoftwareAnalytics/CoCoSoDa") model = AutoModel.from_pretrained("DeepSoftwareAnalytics/CoCoSoDa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from DeepSoftwareAnalytics/CoCoSoDa: direct link, hf CLI and curl.
- Browser
- Download file 504 MB
-
https://huggingface.co/DeepSoftwareAnalytics/CoCoSoDa/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://DeepSoftwareAnalytics/CoCoSoDa/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DeepSoftwareAnalytics/CoCoSoDa/resolve/main/pytorch_model.bin
504 MB
- Xet hash:
- e9192ed61068b7eb0dace0cb49c84958d3804df64551cd5274e70b7a03967584
- Size of remote file:
- 504 MB
- SHA256:
- b8f3ecebf18c951dba012ca368359981251660c0783fb89ec14e3cf69445f1d8
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