Instructions to use DeepDream2045/d07b1e5f-87ba-43db-890c-e52ebd1b1dcf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/d07b1e5f-87ba-43db-890c-e52ebd1b1dcf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "DeepDream2045/d07b1e5f-87ba-43db-890c-e52ebd1b1dcf") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from DeepDream2045/d07b1e5f-87ba-43db-890c-e52ebd1b1dcf: direct link, hf CLI and curl.
- Browser
- Download file 403 MB
-
https://huggingface.co/DeepDream2045/d07b1e5f-87ba-43db-890c-e52ebd1b1dcf/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://DeepDream2045/d07b1e5f-87ba-43db-890c-e52ebd1b1dcf/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/DeepDream2045/d07b1e5f-87ba-43db-890c-e52ebd1b1dcf/resolve/main/last-checkpoint/optimizer.pt
403 MB
- Xet hash:
- e999e1104eea10def91bbf896ad59b05a7c9bfd3a39e31eb7473850c6e59b0a0
- Size of remote file:
- 403 MB
- SHA256:
- f54b97c47efae967ee0067a3760f32eea35f56c106fbedd4f2ea79c311c4f0cc
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