Instructions to use StanBienaives/question_classification_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StanBienaives/question_classification_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="StanBienaives/question_classification_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("StanBienaives/question_classification_test") model = AutoModelForSequenceClassification.from_pretrained("StanBienaives/question_classification_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55f183c938bcebe33807003a9452e20657e88312d12068d659a7a4eee13735ac
- Size of remote file:
- 4.98 kB
- SHA256:
- bc49416e284dc122dedb90b0eaa422230ca09744f143824ec1ce2fc26956568e
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