Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use callaghanmt/modernbert-llm-router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use callaghanmt/modernbert-llm-router with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="callaghanmt/modernbert-llm-router")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("callaghanmt/modernbert-llm-router") model = AutoModelForSequenceClassification.from_pretrained("callaghanmt/modernbert-llm-router") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20915a425f85e46058bc57827f28fb32bfe1914250c424661e2802885e006b39
- Size of remote file:
- 5.37 kB
- SHA256:
- ab4f55fa3ccaac716d3583435c91ef3529ac77bda0c44146142917b8b0082864
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