Instructions to use kuleshov-group/e2d2-cnndm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kuleshov-group/e2d2-cnndm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kuleshov-group/e2d2-cnndm", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kuleshov-group/e2d2-cnndm", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kuleshov-group/e2d2-cnndm: direct link, hf CLI and curl.
- Browser
- Download file 398 MB
-
https://huggingface.co/kuleshov-group/e2d2-cnndm/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kuleshov-group/e2d2-cnndm/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kuleshov-group/e2d2-cnndm/resolve/main/pytorch_model.bin
398 MB
- Xet hash:
- e0dd66e1a0696cd2228ac857a61a3ad71e128d280987f18dd82da3191f6c65aa
- Size of remote file:
- 398 MB
- SHA256:
- 8704369490f5bf231732a1c96e1ff6ef6f58613efd32f4562df8340cdfa1620b
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