Instructions to use rk68/phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rk68/phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-8 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, "rk68/phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 149188dba1cfaf9b5f59c628aabe8a9cca3477a8ff0224320962ed55275e4bd9
- Size of remote file:
- 4.98 kB
- SHA256:
- 0994eccdcd0dc0c862130e3509bcc7b227edc2ae93e5b980117cd1c96cd04577
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