Instructions to use DMLuck/phi_finetuned2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DMLuck/phi_finetuned2.0 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, "DMLuck/phi_finetuned2.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fc2a9786efdb987cc74ecbc763884daa47a682424cb2267c077200bd89225d8
- Size of remote file:
- 4.66 kB
- SHA256:
- ca6a0476dd66d6500fdb9d72e4d6606ab5055c2284df2abacdd878df00da21cc
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