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:
- 6c2a55883c25153fad585d5d73be1accc45818377f75d1e2d858b6e5afe2f21c
- Size of remote file:
- 43.1 MB
- SHA256:
- 89b3ee491bdfadd152f684fda927a5af3a637baa061ab533be627630218c5a26
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