Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use ElMad/dazzling-hound-586 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElMad/dazzling-hound-586 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ElMad/dazzling-hound-586")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ElMad/dazzling-hound-586") model = AutoModelForSequenceClassification.from_pretrained("ElMad/dazzling-hound-586", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4daa42485843d37e146133e13308ee2a6a9c75225645d5ea122d92f70e6dcffb
- Size of remote file:
- 5.5 kB
- SHA256:
- 64ff58b5036bef078d45ccf07b6f794a9a492dd6b56744031cd3925c879f9ddb
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