Instructions to use koclip/koclip-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use koclip/koclip-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("koclip/koclip-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from koclip/koclip-base: direct link, hf CLI and curl.
- Browser
- Download file 1.7 GB
-
https://huggingface.co/koclip/koclip-base/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://koclip/koclip-base/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/koclip/koclip-base/resolve/main/flax_model.msgpack
1.7 GB
- Xet hash:
- 8736698dd91bf9ed181d1f83e58ba2641aafd3c4c14f6b76135e1ae59ec3f7fd
- Size of remote file:
- 1.7 GB
- SHA256:
- d1397edcc4c8f8e3c72fcb4a3cfdc742aa6ff727206f601e100e4df7398b2001
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.