Instructions to use PK03/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PK03/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "PK03/outputs") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from PK03/outputs: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/PK03/outputs/resolve/main/tokenizer.json
- Command line
-
hf download hf://PK03/outputs/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/PK03/outputs/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- ef9efc3a666e145aea70436abaaebcaa7c07cd2a16f088e6086ba23141cf5d60
- Size of remote file:
- 17.5 MB
- SHA256:
- cb7e592b7314175501c7fc56b904d581de569169ac90e5aa2ec11a860c2cbbaa
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