Instructions to use Lumos/yahoo2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lumos/yahoo2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lumos/yahoo2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Lumos/yahoo2") model = AutoModelForSequenceClassification.from_pretrained("Lumos/yahoo2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Lumos/yahoo2: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/Lumos/yahoo2/resolve/main/training_args.bin
- Command line
-
hf download hf://Lumos/yahoo2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Lumos/yahoo2/resolve/main/training_args.bin
2.93 kB
- Xet hash:
- 288153c11ff5d0b17f559ce8a1bf70f1ebb6caf798932d9847e21ab5b8603262
- Size of remote file:
- 2.93 kB
- SHA256:
- dd3cdbb417233062d5a7304d7e489b2ca918deb290baa84663ea8860827a5560
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