Instructions to use mturck/opt-6.7b-lora-code-completion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mturck/opt-6.7b-lora-code-completion with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-6.7b") model = PeftModel.from_pretrained(base_model, "mturck/opt-6.7b-lora-code-completion") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from mturck/opt-6.7b-lora-code-completion: direct link, hf CLI and curl.
- Browser
- Download file 33.6 MB
-
https://huggingface.co/mturck/opt-6.7b-lora-code-completion/resolve/main/adapter_model.bin
- Command line
-
hf download hf://mturck/opt-6.7b-lora-code-completion/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/mturck/opt-6.7b-lora-code-completion/resolve/main/adapter_model.bin
33.6 MB
- Xet hash:
- 83318c5826b7c9c4db35a11c2c33b9443bfe690e1432530beeae95837faff777
- Size of remote file:
- 33.6 MB
- SHA256:
- a5d92126fbe6f914e2b03bb2cf065df08ce3e48094621659a565e110b30113c3
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