Instructions to use sai1881/testagi2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sai1881/testagi2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "sai1881/testagi2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6421da78b6c5349c71256904e77dcc7f3b25e56e3aeacbd2c9c4485153c037ec
- Size of remote file:
- 3.22 GB
- SHA256:
- 733a936d226f5d2a5cd6fb25d09c1e9a3c9869c92fcc94d65b071e7ea0d7e164
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