Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use anonymous813ker/urgency_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anonymous813ker/urgency_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anonymous813ker/urgency_detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anonymous813ker/urgency_detector") model = AutoModelForSequenceClassification.from_pretrained("anonymous813ker/urgency_detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c681769ddcfb59e20f324639d1e01689deb63ea3453f8ced8a971b3fb0476407
- Size of remote file:
- 5.2 kB
- SHA256:
- 7ca8208aa01d33de3d45c89d6232dc791a30079a29c74e4e85f18a404d18d7a5
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