Instructions to use DeepDream2045/7bc4d55e-308b-4992-a748-fc40ec8b7312 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/7bc4d55e-308b-4992-a748-fc40ec8b7312 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, "DeepDream2045/7bc4d55e-308b-4992-a748-fc40ec8b7312") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from DeepDream2045/7bc4d55e-308b-4992-a748-fc40ec8b7312: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/DeepDream2045/7bc4d55e-308b-4992-a748-fc40ec8b7312/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://DeepDream2045/7bc4d55e-308b-4992-a748-fc40ec8b7312/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/DeepDream2045/7bc4d55e-308b-4992-a748-fc40ec8b7312/resolve/main/last-checkpoint/optimizer.pt
671 MB
- Xet hash:
- 942163da388c3f3d13b9fcd129efe392cb28db94b85d031cac4f9d28199b17a9
- Size of remote file:
- 671 MB
- SHA256:
- 49ee79c8991a4559ccec9de73aa73e69fc217c025b1f0e0a99d32a161fbfcb9a
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