Instructions to use textattack/distilbert-base-cased-QQP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/distilbert-base-cased-QQP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/distilbert-base-cased-QQP")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/distilbert-base-cased-QQP") model = AutoModelForSequenceClassification.from_pretrained("textattack/distilbert-base-cased-QQP") - Notebooks
- Google Colab
- Kaggle
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version https://git-lfs.github.com/spec/v1
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oid sha256:bbfda60da0c4f00846eb05f26d730b8a075944701522e6a64aec6dd0b1fb581f
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size 263157278
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