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:
- 791beb114a78d7a90ea17a989f3055a32007cf5aab6eed976da81a1cba87546e
- Size of remote file:
- 6.3 MB
- SHA256:
- 4d507747538548eb3702794d99bb4bcdacf2390c65fa7d3cd5108a4f94c9eca2
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