Instructions to use afrias5/meta-codellama-34b-python-Feed-78 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use afrias5/meta-codellama-34b-python-Feed-78 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/CodeLlama-34b-Python-hf") model = PeftModel.from_pretrained(base_model, "afrias5/meta-codellama-34b-python-Feed-78") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5b3e70665f6dc7bf1dbdf8177e3971e2ca2f68293f71cd479cbc8e277f6d3c8
- Size of remote file:
- 8.5 kB
- SHA256:
- 03e73da24c0f378580588519af6bcd1320659453a0f9ec1e2979931c5faa7e79
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