Instructions to use 0xk1h0/codegen2.5-7b-py150k-r20-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0xk1h0/codegen2.5-7b-py150k-r20-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Salesforce/codegen25-7b-mono") model = PeftModel.from_pretrained(base_model, "0xk1h0/codegen2.5-7b-py150k-r20-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e2645b4561b941aeaa0da214fc04b14e880faac5b11a5866477805cc3e5ff9c
- Size of remote file:
- 16.8 MB
- SHA256:
- db44c8a81a8aeb914b3b258edc00b1cec9521f5f350a7dc4b8a13be5337a7ba3
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