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:
- fe95c7dae43d0c1da3f9727b0e7c41bb9cb7a6f20f5c24f18fd8692cf4f0e96f
- Size of remote file:
- 1.06 kB
- SHA256:
- 1da0efa6bd078f65dc649d4e90d30aba6d462a8362459d030146b3c40a5e6c58
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