Instructions to use emonnsl/tmp_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use emonnsl/tmp_ft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("hishab/titulm-1b-bn-v1") model = PeftModel.from_pretrained(base_model, "emonnsl/tmp_ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca32b282e9b2211c9a6c3ca4a461e294b14123a4479b6bc2ff76601935b95deb
- Size of remote file:
- 5.05 kB
- SHA256:
- cab22ba79cda15f54ce907097c40aecb6ebd4c038c6657764e0d5bf9d78a133c
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