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:
- bc8d5137150f97025b31a5bbd67b3c3a7b45b2487da60fb30861e1b710d882cb
- Size of remote file:
- 31.5 MB
- SHA256:
- ddd9f6be654827d96d2edf44937fbcc9838f2dd44e80defc0ad82d5c4694483e
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