Instructions to use DeepDream2045/dcf5609c-e90f-4841-accf-f0bfedf4a73c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/dcf5609c-e90f-4841-accf-f0bfedf4a73c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "DeepDream2045/dcf5609c-e90f-4841-accf-f0bfedf4a73c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3babf9825eed23010ba0769fb6c84792b40e5978976755ca85d97ccc5a40fc6
- Size of remote file:
- 6.84 kB
- SHA256:
- 5958c36e57a2040ba17f9a3bb5f2356129dd46355ae84e19532f5d05f8fb2d06
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