Instructions to use afrias5/codellama-34b-Python-Score4096-54 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use afrias5/codellama-34b-Python-Score4096-54 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/codellama-34b-Python-Score4096-54") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93509337621415dd693fb35f9f70c5ae8701ae1d3a32a2edad7b6e94b74b27c6
- Size of remote file:
- 6.33 kB
- SHA256:
- 0801429a27f7b751e489635348870208647133f8f31850047b9f26857ecee517
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