Instructions to use gvij/open-llama-7b-code-alpaca-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gvij/open-llama-7b-code-alpaca-instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_7b") model = PeftModel.from_pretrained(base_model, "gvij/open-llama-7b-code-alpaca-instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d44493c93b6fdfceaa490eeb6bcc07792fdd9bd0df41ff63755cd3d42d715498
- Size of remote file:
- 33.6 MB
- SHA256:
- c66808153396dc511aef4256802d3fdafa2821c728f1eed6e7cad449234f3350
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