Instructions to use hackint0sh/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hackint0sh/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "hackint0sh/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be66d691f683e14321e154a795a5da17af8efbeecf2d30802107554f6376b577
- Size of remote file:
- 4.98 kB
- SHA256:
- 2fff968fe79425d33c46069c52826962e320b22774edb7718426232baee83aec
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