Instructions to use Krishnaoak17/autoXae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Krishnaoak17/autoXae with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("01-ai/Yi-Coder-1.5B") model = PeftModel.from_pretrained(base_model, "Krishnaoak17/autoXae") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Krishnaoak17/autoXae: direct link, hf CLI and curl.
- Browser
- Download file 6.75 MB
-
https://huggingface.co/Krishnaoak17/autoXae/resolve/main/tokenizer.json
- Command line
-
hf download hf://Krishnaoak17/autoXae/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Krishnaoak17/autoXae/resolve/main/tokenizer.json
6.75 MB
File too large to display, you can check the raw version instead.