Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use ElMad/honorable-shrew-498 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElMad/honorable-shrew-498 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ElMad/honorable-shrew-498")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ElMad/honorable-shrew-498") model = AutoModelForSequenceClassification.from_pretrained("ElMad/honorable-shrew-498", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b0e9b8587478147753f56064af3a4f29a51e580b26a4db834483644d9d7fbfc
- Size of remote file:
- 5.5 kB
- SHA256:
- efd6ec199f33e710cfcd70345b64f4e6eb462f2c37e11669153cf27716d5cd34
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