Instructions to use A2H0H0R1/Qwen-7B-Chat-Int4-Qlora-biology-new-long with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use A2H0H0R1/Qwen-7B-Chat-Int4-Qlora-biology-new-long with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-7B-Chat-Int4") model = PeftModel.from_pretrained(base_model, "A2H0H0R1/Qwen-7B-Chat-Int4-Qlora-biology-new-long") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9212d06c7007fbcc073d9f6dd64db081b5bb2b639d8a235d95001f5ea42bc098
- Size of remote file:
- 6.26 kB
- SHA256:
- 71e8edf55ef0fc4e08457d052d59cd337aa78df19fb8d3e70bf9a70c10eb0135
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