Instructions to use rhgt1996/peft_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rhgt1996/peft_output with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rhgt1996/peft_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from rhgt1996/peft_output: direct link, hf CLI and curl.
- Browser
- Download file 3.52 MB
-
https://huggingface.co/rhgt1996/peft_output/resolve/main/tokenizer.json
- Command line
-
hf download hf://rhgt1996/peft_output/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/rhgt1996/peft_output/resolve/main/tokenizer.json
3.52 MB
- Xet hash:
- 1843736c8e3f59061962891f93ee99775fac32bdf5c7ca82b17b9d7c6c7faefb
- Size of remote file:
- 3.52 MB
- SHA256:
- 7d27c493c729a66ecefc837280b05d948b1ed50d130eebdbf911b1b36cf38ed7
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