Instructions to use nttx/b7d1970d-8f9a-4cae-8180-b2e8c45a7da2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/b7d1970d-8f9a-4cae-8180-b2e8c45a7da2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("katuni4ka/tiny-random-dbrx") model = PeftModel.from_pretrained(base_model, "nttx/b7d1970d-8f9a-4cae-8180-b2e8c45a7da2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1383ced7554765697d6755c5598ae1988fcfdeb28ebe8c78c8f54a383d77ecfc
- Size of remote file:
- 1.06 kB
- SHA256:
- ef0f1e8ec5c4c211e766cef747021e872c7bb560273b7afa7548b51e54fec6a2
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