Instructions to use nlpunibo/distilbert_convolutional_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpunibo/distilbert_convolutional_classifier with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="nlpunibo/distilbert_convolutional_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nlpunibo/distilbert_convolutional_classifier") model = AutoModelForQuestionAnswering.from_pretrained("nlpunibo/distilbert_convolutional_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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First version of the distilbert_convolutional_classifier model and tokenizer.
Simone Gayed Said7ebe541 -
initial commit
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