Instructions to use nitinnarang/BANK-SEVICE1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nitinnarang/BANK-SEVICE1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "nitinnarang/BANK-SEVICE1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3115dde50c998604e30e6e9fce97e9f59570d0eef0d75ebe39135c088f3377c5
- Size of remote file:
- 5.11 kB
- SHA256:
- de6e07298040f42aed1245816a3c2ef6e1aae1db5bc590560eaba16bc110818b
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