Instructions to use ZinengTang/clip_last_layer_removed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZinengTang/clip_last_layer_removed with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ZinengTang/clip_last_layer_removed") model = AutoModel.from_pretrained("ZinengTang/clip_last_layer_removed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ZinengTang/clip_last_layer_removed: direct link, hf CLI and curl.
- Browser
- Download file 3.94 GB
-
https://huggingface.co/ZinengTang/clip_last_layer_removed/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ZinengTang/clip_last_layer_removed/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ZinengTang/clip_last_layer_removed/resolve/main/pytorch_model.bin
3.94 GB
- Xet hash:
- 35bc2fb356bf52a02259d3e7e11e41dfc22909357e79f06a11fb3da662f5bfb3
- Size of remote file:
- 3.94 GB
- SHA256:
- cec484db418b2b1dd0054f0e561e24712080ccf6796c9d7271d097ae4d9ea582
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