Instructions to use random-sequence/task-1-microsoft-Phi-3.5-mini-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use random-sequence/task-1-microsoft-Phi-3.5-mini-instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "random-sequence/task-1-microsoft-Phi-3.5-mini-instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58edeb67bf7182b6025cee1acf2e9ca67afda4f1e278c137bf4801e58d91318f
- Size of remote file:
- 5.37 kB
- SHA256:
- 0367b8bd73257a4330638660fb7823bfdc4f9f0caf07134dabfd9753ac3f64dd
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