Instructions to use pedrosperber760/962accf0-33b8-4f9e-9141-56b586b99e32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pedrosperber760/962accf0-33b8-4f9e-9141-56b586b99e32 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("katuni4ka/tiny-random-qwen1.5-moe") model = PeftModel.from_pretrained(base_model, "pedrosperber760/962accf0-33b8-4f9e-9141-56b586b99e32") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6b7a472a02e02005bd42ee81a58705c3f63061f4a9656de0687aae3944ad86c
- Size of remote file:
- 6.78 kB
- SHA256:
- f1cca273114fa0d619ef122b9f0c42b34bf23592f5e88d6ebaca44500d6d07ef
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