Instructions to use TinyPixel/output-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TinyPixel/output-2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("PY007/TinyLlama-1.1B-step-50K-105b") model = PeftModel.from_pretrained(base_model, "TinyPixel/output-2") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from TinyPixel/output-2: direct link, hf CLI and curl.
- Browser
- Download file 269 MB
-
https://huggingface.co/TinyPixel/output-2/resolve/653fa7b05a80098dbc9fbe0518585f56f09c9139/optimizer.pt
- Command line
-
hf download hf://TinyPixel/output-2@653fa7b05a80098dbc9fbe0518585f56f09c9139/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/TinyPixel/output-2/resolve/653fa7b05a80098dbc9fbe0518585f56f09c9139/optimizer.pt
269 MB
- Xet hash:
- 86b24b605f0b052f1b8deb51ba2dd70e671b813aab23300803250acf1c181fd0
- Size of remote file:
- 269 MB
- SHA256:
- 4b71a7eadddc38545a5bf0c26f2f825713f439fd01d84d4d6a53ad84420f286a
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