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
Simone Gayed Said
First version of the distilbert_convolutional_classifier model and tokenizer.
7ebe541 Download pytorch_model.bin from nlpunibo/distilbert_convolutional_classifier: direct link, hf CLI and curl.
- Browser
- Download file 267 MB
-
https://huggingface.co/nlpunibo/distilbert_convolutional_classifier/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
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hf download hf://nlpunibo/distilbert_convolutional_classifier@refs/pr/1/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/nlpunibo/distilbert_convolutional_classifier/resolve/refs%2Fpr%2F1/pytorch_model.bin
267 MB
- Xet hash:
- caf7b26005ccb5117d2e516ae90f5d33da5c01dae62f90e1efec9c1da5ab54f0
- Size of remote file:
- 267 MB
- SHA256:
- 421f9584fdaabddd46983ec52b6106666a8c352ae1a551b2c53514e1703bef12
路
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