Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use lear-lab/modernbert-content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lear-lab/modernbert-content with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lear-lab/modernbert-content")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lear-lab/modernbert-content") model = AutoModelForSequenceClassification.from_pretrained("lear-lab/modernbert-content", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48e9c07bea1b725c9606496f1f6b40d1870e5cacfb25aee158ae2f962a99d833
- Size of remote file:
- 5.3 kB
- SHA256:
- 2677c0745c000aa21677d2f71d04ef5d3c781a193b2178405747280a086b3473
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