Instructions to use virto/kook-model-output-dir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use virto/kook-model-output-dir with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("virto/kook-model-output-dir") model = AutoModelForSeq2SeqLM.from_pretrained("virto/kook-model-output-dir", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from virto/kook-model-output-dir: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/virto/kook-model-output-dir/resolve/main/tokenizer.json
- Command line
-
hf download hf://virto/kook-model-output-dir/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/virto/kook-model-output-dir/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 0824ecdad8242c67b49c76a952e0bc4de62b7c89881354dc61304d9bf5311771
- Size of remote file:
- 16.3 MB
- SHA256:
- d15b59d404d29e41d3eddebcd213b00395e140bf9493419c646b0c74647efbea
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