Instructions to use Dogge/aicang-22B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Dogge/aicang-22B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("models/grimpep_L2-MythoMax22b-instruct-Falseblock") model = PeftModel.from_pretrained(base_model, "Dogge/aicang-22B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7795bca2c8fc25d21bd0f2e5e85896c014eec492921ebb32b64c07f007887bea
- Size of remote file:
- 136 MB
- SHA256:
- d16629ea18728fa24526d62da7938acf496e25e8dbc17ef3d8fb5724d20cf174
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