Instructions to use Lumos/yahoo1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lumos/yahoo1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lumos/yahoo1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Lumos/yahoo1") model = AutoModelForSequenceClassification.from_pretrained("Lumos/yahoo1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Lumos/yahoo1: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Lumos/yahoo1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Lumos/yahoo1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Lumos/yahoo1/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- c770d60c343e8705ac80589a115186eb6a9b98af8ede2eb3444cad7678f78eb4
- Size of remote file:
- 438 MB
- SHA256:
- 596c7d9e95d45fa1e339a4aee95821cfc1298ea24f38c012b364356c65f21c60
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