Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Curtec/AussieAussieAussietext_classifier-distilbert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Curtec/AussieAussieAussietext_classifier-distilbert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Curtec/AussieAussieAussietext_classifier-distilbert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Curtec/AussieAussieAussietext_classifier-distilbert-base-uncased") model = AutoModelForSequenceClassification.from_pretrained("Curtec/AussieAussieAussietext_classifier-distilbert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3730f648f5a379358fb133ace5bf8826c11200472598cd1c7c69f6928a92bb3
- Size of remote file:
- 5.2 kB
- SHA256:
- 4f5921107ffab571c1302a02c981f8f0101e0a70a7946d6b0d272b2589b65b36
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