Instructions to use erave02/checkppoint128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use erave02/checkppoint128 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("models/llama-2-13b/model_artifacts/training_weights") model = PeftModel.from_pretrained(base_model, "erave02/checkppoint128") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9ef741bb223cc2f554d460a7afe9ea3caec931b8270bf955aa8f6659d8f96e9
- Size of remote file:
- 210 MB
- SHA256:
- e0ed29ee49639beca1a66d52a13b8e0e3b7f1e2bf1da807760a66e3ef93f998f
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