Instructions to use Torchborg/luke-base-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Torchborg/luke-base-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Torchborg/luke-base-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Torchborg/luke-base-classifier") model = AutoModelForSequenceClassification.from_pretrained("Torchborg/luke-base-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76ce6c57807cdb16b6608554b05378ab436f17639e8b3a616ef4341a776dcf4a
- Size of remote file:
- 3.58 kB
- SHA256:
- 276605120bd0c70f2a2def63fdc359695f9ae5712eb3df57da017a96d60d5710
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