Instructions to use DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040: direct link, hf CLI and curl.
- Browser
- Download file 70.4 MB
-
https://huggingface.co/DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040/resolve/main/last-checkpoint/adapter_model.safetensors
70.4 MB
- Xet hash:
- ccfbe59ca6eb370b4631df800998c346aa0646a711c861fc9a54c3bf11005246
- Size of remote file:
- 70.4 MB
- SHA256:
- 12e16375515c3bfea359afc9187dd3f12304e8491b00d2e977eb607506716816
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