Instructions to use DeepDream2045/c092a1af-e68e-4e2e-ac19-e0cf603b060c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/c092a1af-e68e-4e2e-ac19-e0cf603b060c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("elyza/Llama-3-ELYZA-JP-8B") model = PeftModel.from_pretrained(base_model, "DeepDream2045/c092a1af-e68e-4e2e-ac19-e0cf603b060c") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from DeepDream2045/c092a1af-e68e-4e2e-ac19-e0cf603b060c: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/DeepDream2045/c092a1af-e68e-4e2e-ac19-e0cf603b060c/resolve/main/tokenizer.json
- Command line
-
hf download hf://DeepDream2045/c092a1af-e68e-4e2e-ac19-e0cf603b060c/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/DeepDream2045/c092a1af-e68e-4e2e-ac19-e0cf603b060c/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- d1764001543899106a3168f0d55a6a527fadce55b617f89242903ae4ace0ef8d
- Size of remote file:
- 17.2 MB
- SHA256:
- 3c5cf44023714fb39b05e71e425f8d7b92805ff73f7988b083b8c87f0bf87393
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