Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use Petri99/classifier-modernv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Petri99/classifier-modernv1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Petri99/classifier-modernv1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Petri99/classifier-modernv1") model = AutoModelForSequenceClassification.from_pretrained("Petri99/classifier-modernv1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d1748073bfce3447291786d5eac370895e10ec4437ab6573217dce65ce6062e
- Size of remote file:
- 5.84 kB
- SHA256:
- 141755b9b14295ce92b297bc874fd522aad1ba75652404bac09f5fde964fc21a
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