Instructions to use dada22231/3dc68e57-4d68-45da-90d6-b18b56865877 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/3dc68e57-4d68-45da-90d6-b18b56865877 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-0.5B-Chat") model = PeftModel.from_pretrained(base_model, "dada22231/3dc68e57-4d68-45da-90d6-b18b56865877") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c85c29394db3bb3f7175c567d2943a5c1805798b559fad26df45dda27524d24a
- Size of remote file:
- 60.6 MB
- SHA256:
- 999f076b8f5f2d9d9faefe07d63f0a355fc27c5beef3d916a5727556d9cbc800
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