Instructions to use dada22231/aae221a2-e111-4f8b-98ba-935f2b79fdfb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/aae221a2-e111-4f8b-98ba-935f2b79fdfb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B") model = PeftModel.from_pretrained(base_model, "dada22231/aae221a2-e111-4f8b-98ba-935f2b79fdfb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb98a7aa362b58c7d46b3b9e6c2393984e906dff3e928e1a786c025862e98fb1
- Size of remote file:
- 6.84 kB
- SHA256:
- 08579f82cbfb1c3a9478db05178fb9f36457a6074db9fd2e7a51176f129d81e2
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