Instructions to use jfranklin-foundry/Qwen-Qwen2-7B-1722474902 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jfranklin-foundry/Qwen-Qwen2-7B-1722474902 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-7B") model = PeftModel.from_pretrained(base_model, "jfranklin-foundry/Qwen-Qwen2-7B-1722474902") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef8b7fac517c782297a8a01d7ea8f675b298ad2278ece8fd08487aa7a37d74aa
- Size of remote file:
- 1.03 MB
- SHA256:
- 386c49cf943d71aa110361135338c50e38beeff0a66593480421f37b319e1a39
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