Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use underscore2/modernbert_large_reply_engagement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use underscore2/modernbert_large_reply_engagement with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="underscore2/modernbert_large_reply_engagement", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("underscore2/modernbert_large_reply_engagement") model = AutoModelForSequenceClassification.from_pretrained("underscore2/modernbert_large_reply_engagement", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f520403a9bc6ed0673c866a53fe46b813c0115bc9e690e220376b7ff1de11683
- Size of remote file:
- 1.58 GB
- SHA256:
- 5d065128d8113d6ef4488529f8648712ca92a72e4a246914a541ae0dff004f79
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