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:
- 74a2a7d7074a74325ba4be99302ad8ad78a7c6d3a825b50fec78a1e87c63a90c
- Size of remote file:
- 4.93 GB
- SHA256:
- f853ec3146e45f271e139e33cb4d83475c21c767d77ef3de4dc236e428fa4e5f
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