Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use gossminn/predict-perception-bertino-cause-object with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gossminn/predict-perception-bertino-cause-object with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gossminn/predict-perception-bertino-cause-object")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gossminn/predict-perception-bertino-cause-object") model = AutoModelForSequenceClassification.from_pretrained("gossminn/predict-perception-bertino-cause-object", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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update model card README.md
Gosse Minnema2871dc0 -
End of training
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Training in progress, step 500
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initial commit
Gosse Minnema38e7c23