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 pytorch_model.bin from Lumos/yahoo2: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Lumos/yahoo2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Lumos/yahoo2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Lumos/yahoo2/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 28412ac9922f00c2c87211fce384f7d690aa36a2ae5472b4d8d8ddabb72e6bc9
- Size of remote file:
- 438 MB
- SHA256:
- 34c5458199f93a89b17048253ca33338dfd07d8b825193bea4cdb64e49a7b2c3
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