Instructions to use Serega6678/My_script_50pct_LLM_pretraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Serega6678/My_script_50pct_LLM_pretraining with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "Serega6678/My_script_50pct_LLM_pretraining") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be857a4627f29e8cc88af131bcb274524b84efc1bf6fe6d93e9339911241c4e4
- Size of remote file:
- 4.86 kB
- SHA256:
- ba15098f2fcddf4b3fd76fc948fad604b72ac76fd82a86d40aa89e844ce3d0a6
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