Instructions to use EdBerg/Baha_9MA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/Baha_9MA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "EdBerg/Baha_9MA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bf7e7095870612edb8e5b402df6057f1d0083246c6f14ecc31e80d052baf9a3
- Size of remote file:
- 5.43 kB
- SHA256:
- 1395357167483e5907b0d972ddb64a1d3fb6d8d577aae3a6f7239eedf7d889d9
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