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 training_args.bin from nlpunibo/distilbert_convolutional_classifier: direct link, hf CLI and curl.
- Browser
- Download file 2.29 kB
-
https://huggingface.co/nlpunibo/distilbert_convolutional_classifier/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://nlpunibo/distilbert_convolutional_classifier@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nlpunibo/distilbert_convolutional_classifier/resolve/refs%2Fpr%2F1/training_args.bin
2.29 kB
- Xet hash:
- d0e80a5a2525a74afd9885e3a4492e78384b3e27af1ac16bfb47ea5620bf3c57
- Size of remote file:
- 2.29 kB
- SHA256:
- 003435375c79e0f1ec709031c4eac99cfbfe6ba3c228ee5470758acc6166657f
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.