Instructions to use kph-keewalpass/23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use kph-keewalpass/23 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:kph-keewalpass/23') tokenizer = open_clip.get_tokenizer('hf-hub:kph-keewalpass/23') - Notebooks
- Google Colab
- Kaggle
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Download README.md from kph-keewalpass/23: direct link, hf CLI and curl.
- Browser
- Download file 159 Bytes
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https://huggingface.co/kph-keewalpass/23/resolve/main/README.md
- Command line
-
hf download hf://kph-keewalpass/23/README.md
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curl -L -o README.md https://huggingface.co/kph-keewalpass/23/resolve/main/README.md
159 Bytes
metadata
license: bigscience-openrail-m
datasets:
- tiiuae/falcon-refinedweb
language:
- en
- hi
library_name: open_clip
pipeline_tag: text-to-image
tags:
- art