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:
- 4231eb34c1b9942f4eb2f7ec6dd642faebe6dc1b0ee649a2572347cf2cf38a2e
- Size of remote file:
- 5.75 kB
- SHA256:
- cf2ae6e55adff194337b4bd40c59dc44ddb4d439c42e7a90724892bc1a33d780
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