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:
- 977bd39b37a717a85ea1d51ef84007ad978bb035d8aecbbc7249dfdb3230915e
- Size of remote file:
- 14.2 kB
- SHA256:
- ff09c451a10d4088bb54a29920ab4c7f6bfe1e15f4fa7f70303d92cee153f304
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