Instructions to use shahrukhx01/bert-multitask-query-classifiers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shahrukhx01/bert-multitask-query-classifiers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shahrukhx01/bert-multitask-query-classifiers")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shahrukhx01/bert-multitask-query-classifiers") model = AutoModelForSequenceClassification.from_pretrained("shahrukhx01/bert-multitask-query-classifiers") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54207d04d0657a830090e9b1e4da4ff130e6f753d3051183dee3f495bbba246c
- Size of remote file:
- 44.7 MB
- SHA256:
- ed8aea328e22296918b975bca90304798accaf3be889199675cef0782d09652d
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