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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56822051c7521af3bdc1a55823226c086eb50ef2dc196a5b1e5331ba76b275c3
- Size of remote file:
- 598 MB
- SHA256:
- 278a81f6ca7dba646530821273725fa92f9b8981334731ddc64a880b8c90a662
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