Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use ElMad/marvelous-cat-327 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElMad/marvelous-cat-327 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ElMad/marvelous-cat-327")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ElMad/marvelous-cat-327") model = AutoModelForSequenceClassification.from_pretrained("ElMad/marvelous-cat-327") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca2dbea60387e0632b25773f527f909fecfe475fa3198f6a7d9cb084e057a960
- Size of remote file:
- 5.5 kB
- SHA256:
- 915bb66a0318c0acc920f8416afd7783cc09e6a05f9dc04fd837ec49813845f7
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