Instructions to use bwang0911/cat-emb-4-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bwang0911/cat-emb-4-128 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bwang0911/cat-emb-4-128", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from bwang0911/cat-emb-4-128: direct link, hf CLI and curl.
- Browser
- Download file 9.58 MB
-
https://huggingface.co/bwang0911/cat-emb-4-128/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://bwang0911/cat-emb-4-128@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/bwang0911/cat-emb-4-128/resolve/refs%2Fpr%2F1/pytorch_model.bin
9.58 MB
- Xet hash:
- cfa3495216c64f2d84b6e1978e09c248c69f74a20824ce9730dc67cf442687e8
- Size of remote file:
- 9.58 MB
- SHA256:
- 2624cdab1115c845bf13989c483bf6103ca09c6ab4994d7f4f7dafc4bea57ac2
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