Instructions to use damerajee/maybe-last with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use damerajee/maybe-last with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("sarvamai/OpenHathi-7B-Hi-v0.1-Base") model = PeftModel.from_pretrained(base_model, "damerajee/maybe-last") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8586dfebffd5bc44b0a2da69ae98b02e0d044e236e2a3fa2342827293507203c
- Size of remote file:
- 4.86 kB
- SHA256:
- 58e84076fe87bbd90dd16dbfb20cb0e72d53f974fa52be397463a306275826ca
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