Instructions to use npvinHnivqn/phi-2-FCRL-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use npvinHnivqn/phi-2-FCRL-v0.1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "npvinHnivqn/phi-2-FCRL-v0.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4dabf983f3f4ae95efb850c9ae8e1bc82e87f486f8ca512fd3b8a5c0ef416c8b
- Size of remote file:
- 1.26 GB
- SHA256:
- 68c3b4aa1dc063a7eb3d85288c116f02255fa9c56d532a2510613b9009027012
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