Instructions to use metacog0/qwen2.5-32b-ins-lora-50-toy-meta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use metacog0/qwen2.5-32b-ins-lora-50-toy-meta with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-32B-Instruct") model = PeftModel.from_pretrained(base_model, "metacog0/qwen2.5-32b-ins-lora-50-toy-meta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3136e5c0c93c42b45bd948cd28814b421906e336560a62a3e731dc371bab14cf
- Size of remote file:
- 6.29 kB
- SHA256:
- 7073d9bd725118341b686f8b2f269bdda3c96ff04238fe0a7a7e96f26c7e3a0c
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