Instructions to use 0xk1h0/codegen2-7B-peft-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0xk1h0/codegen2-7B-peft-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Salesforce/codegen2-7B") model = PeftModel.from_pretrained(base_model, "0xk1h0/codegen2-7B-peft-lora") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from 0xk1h0/codegen2-7B-peft-lora: direct link, hf CLI and curl.
- Browser
- Download file 33.6 MB
-
https://huggingface.co/0xk1h0/codegen2-7B-peft-lora/resolve/main/optimizer.pt
- Command line
-
hf download hf://0xk1h0/codegen2-7B-peft-lora/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/0xk1h0/codegen2-7B-peft-lora/resolve/main/optimizer.pt
33.6 MB
- Xet hash:
- aff57c80ec2b971bc41bda6bcb9b5c07c39db4d14eb27752beedf06485907598
- Size of remote file:
- 33.6 MB
- SHA256:
- 6215070a4d08de0490c2105532fb1a57474d94c9d72406cfebe8261612ddc7bc
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