Instructions to use ceyda/clip-reply with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ceyda/clip-reply with Transformers:
# Load model directly from transformers import HybridCLIP model = HybridCLIP.from_pretrained("ceyda/clip-reply", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from ceyda/clip-reply: direct link, hf CLI and curl.
- Browser
- Download file 852 MB
-
https://huggingface.co/ceyda/clip-reply/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://ceyda/clip-reply/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/ceyda/clip-reply/resolve/main/flax_model.msgpack
852 MB
- Xet hash:
- caef976f4e9fa68cfd008f6ac576ed202f1459da31f797a56a7b0b9fbfa2b099
- Size of remote file:
- 852 MB
- SHA256:
- c2bc552b4bf159294bd53b247a56f90ff489b3323a8c544bd4e3ff5f918451ef
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