Instructions to use jeqcho/persona_7b_to_7b-qwen25-7b-phoenix-bottom_10k-seed0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jeqcho/persona_7b_to_7b-qwen25-7b-phoenix-bottom_10k-seed0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jeqcho/persona_7b_to_7b-qwen25-7b-phoenix-bottom_10k-seed0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoint-270/optimizer.pt from jeqcho/persona_7b_to_7b-qwen25-7b-phoenix-bottom_10k-seed0: direct link, hf CLI and curl.
- Browser
- Download file 162 MB
-
https://huggingface.co/jeqcho/persona_7b_to_7b-qwen25-7b-phoenix-bottom_10k-seed0/resolve/main/checkpoint-270/optimizer.pt
- Command line
-
hf download hf://jeqcho/persona_7b_to_7b-qwen25-7b-phoenix-bottom_10k-seed0/checkpoint-270/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/jeqcho/persona_7b_to_7b-qwen25-7b-phoenix-bottom_10k-seed0/resolve/main/checkpoint-270/optimizer.pt
162 MB
- Xet hash:
- c14cace22dd108f2c2449292e25fe41c37bc0f01debd2656098bac67bc2e8da3
- Size of remote file:
- 162 MB
- SHA256:
- 84ece48e91e0533798736017b5fcc7b4d81e5cbb854fa63f6755abff1a5724b8
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