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:
- 65d57d9dfa7fdb34b5784ca69dfafac4ef7bf75e671b2a1d5766f3504e76a954
- Size of remote file:
- 37.8 MB
- SHA256:
- 6a3b4361eea93a0bda321ad452248bbccc466147cd1696128e8396206dc26b99
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