Instructions to use EdBerg/Baha_9MC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/Baha_9MC with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "EdBerg/Baha_9MC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d48253e4b6a742a3c182d5208c68c8ec60f21cf5a4068b71725b65348fc16b2
- Size of remote file:
- 5.5 kB
- SHA256:
- 6067e97ddee3f8927df8c72f5a7936c50d7b58577fd892474ebbf3dd666cc866
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