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:
- 78bc3ed5d7e0cd1b7eee700b4cd3a9a41bad5218aa09f6dc6b67ee6fe5268bed
- Size of remote file:
- 9.17 kB
- SHA256:
- 7bbbc1524f8e7e39297123849543c845f465d8237bcb965b354d42d74ee5da34
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