Instructions to use maisamabbas/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use maisamabbas/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16") model = PeftModel.from_pretrained(base_model, "maisamabbas/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 150d2748ba44f01b815a3286f7a70020b9f454ce6d81f2f9914834bc48f18f10
- Size of remote file:
- 4.92 kB
- SHA256:
- e8fc039afea059b903984094494eb9ac2af4c7a3d550e70b3f65199ca73868da
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