Instructions to use akashAD/phi-2-query_classify10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use akashAD/phi-2-query_classify10 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_classify10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ed9b460bda26d0b0f2b884b26240b39f636226069d0c12d96c301549e67f43f
- Size of remote file:
- 4.73 kB
- SHA256:
- a3018f8a160e0563a3cbc1badc51a92e783be42a2f5741c9c20d9c0cad6350f5
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