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:
- 41f38b7a7f2357b41cd158dd583a06e059e3de64bb5b92596d4aff1865087c31
- Size of remote file:
- 6.78 kB
- SHA256:
- 75b1cc27ee46aaa12d5d2069e323e0bd1322eb531685db16b84bb4b495ea0c9e
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