Instructions to use DeepDream2045/ee3e3801-ac37-4de3-847d-02f6067252b4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/ee3e3801-ac37-4de3-847d-02f6067252b4 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/ee3e3801-ac37-4de3-847d-02f6067252b4") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state_0.pth from DeepDream2045/ee3e3801-ac37-4de3-847d-02f6067252b4: direct link, hf CLI and curl.
- Browser
- Download file 15 kB
-
https://huggingface.co/DeepDream2045/ee3e3801-ac37-4de3-847d-02f6067252b4/resolve/main/last-checkpoint/rng_state_0.pth
- Command line
-
hf download hf://DeepDream2045/ee3e3801-ac37-4de3-847d-02f6067252b4/last-checkpoint/rng_state_0.pth
-
curl -L -o rng_state_0.pth https://huggingface.co/DeepDream2045/ee3e3801-ac37-4de3-847d-02f6067252b4/resolve/main/last-checkpoint/rng_state_0.pth
15 kB
- Xet hash:
- 5a7b7481387bff77b88f1309b9be54613fb04e3667cdfda31ee16bc8f49ca16c
- Size of remote file:
- 15 kB
- SHA256:
- 4e083be5da204cb41e585c015561cf78d081ce68ea31cf9e6d3c99ae82a20e3b
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