Text Classification
Transformers
PyTorch
Safetensors
English
bert
neural-search-query-classification
neural-search
Instructions to use shahrukhx01/question-vs-statement-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shahrukhx01/question-vs-statement-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shahrukhx01/question-vs-statement-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shahrukhx01/question-vs-statement-classifier") model = AutoModelForSequenceClassification.from_pretrained("shahrukhx01/question-vs-statement-classifier", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from shahrukhx01/question-vs-statement-classifier: direct link, hf CLI and curl.
- Browser
- Download file 44.7 MB
-
https://huggingface.co/shahrukhx01/question-vs-statement-classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://shahrukhx01/question-vs-statement-classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/shahrukhx01/question-vs-statement-classifier/resolve/main/pytorch_model.bin
44.7 MB
- Xet hash:
- 01b1803718a3120c255870788a598232d463b4ddead07c34f6e39e6241cd1aa1
- Size of remote file:
- 44.7 MB
- SHA256:
- e47836a61bc13290316c2029d3855a3b6d2094910e3a13358bee83e63f0125d4
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