Instructions to use heooo/kobartTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heooo/kobartTest with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("heooo/kobartTest") model = AutoModelForSeq2SeqLM.from_pretrained("heooo/kobartTest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from heooo/kobartTest: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/heooo/kobartTest/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://heooo/kobartTest/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/heooo/kobartTest/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- 01a4c61075babff06eb045089af6997ba1e71d8f322ebb58eff9fa5102f9ac34
- Size of remote file:
- 496 MB
- SHA256:
- 836605827ad3d2b95222e81ddc107d6a9bb9e0976b2992e19c50a6ecb760a915
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