Instructions to use ehsanul007/IAmA-question-ranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ehsanul007/IAmA-question-ranker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ehsanul007/IAmA-question-ranker")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ehsanul007/IAmA-question-ranker") model = AutoModelForSequenceClassification.from_pretrained("ehsanul007/IAmA-question-ranker") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24c24ec1e2e587b468b693667228a840c316403061c4b6037419d70a585fc5f5
- Size of remote file:
- 433 MB
- SHA256:
- dcd25f30adb26be12dc25028d4fd9cc7cbba62e3e8794065a3a3c2f6b23be8d7
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