Instructions to use akashAD/phi-2-query_test100data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use akashAD/phi-2-query_test100data with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-1_5") model = PeftModel.from_pretrained(base_model, "akashAD/phi-2-query_test100data") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9f9d31e787a83905c0dfd422db3d62e912f63f2580d81295ce0b751656d79cc
- Size of remote file:
- 7.87 MB
- SHA256:
- b1b67938504104220fd59c4585908101338bcb4d0dea8c9a1d96f1895fc4108d
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