Text Classification
Transformers
Safetensors
English
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use NajafAli01/QueryCategorizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NajafAli01/QueryCategorizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NajafAli01/QueryCategorizer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NajafAli01/QueryCategorizer") model = AutoModelForSequenceClassification.from_pretrained("NajafAli01/QueryCategorizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9980c52eecd6437712012c5aa3a1a31e0314915b09ea69e15cbf2686c76aa7c4
- Size of remote file:
- 5.2 kB
- SHA256:
- 06b3b65a13ca0c638a653105c33c4ce2e54bd1125981f3af9e097e521df82f87
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