Instructions to use quiorte/codellama-java8m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use quiorte/codellama-java8m with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "quiorte/codellama-java8m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0af4f5ac1a9b622ee7503784063a779385010ca14414b5806b1f9167f1a806e0
- Size of remote file:
- 134 MB
- SHA256:
- a8a5518e57ada96d28f74ba6eeb52c2d8d72f55de9d62e284b114490daa79302
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