Instructions to use jacksnacks/third_qlora_model_xgen_inst_faq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jacksnacks/third_qlora_model_xgen_inst_faq with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Salesforce/xgen-7b-8k-inst") model = PeftModel.from_pretrained(base_model, "jacksnacks/third_qlora_model_xgen_inst_faq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- daeaa2451790fa36d9e539f896559228a421f7d0adb8a4701e4a934f67f14627
- Size of remote file:
- 33.6 MB
- SHA256:
- c78cbbc88c0197af7c9325b45a86be69ffc68345b940cfabe00434c07ed964cf
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