Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use esekeroglu/modernbert-llm-router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use esekeroglu/modernbert-llm-router with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="esekeroglu/modernbert-llm-router")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("esekeroglu/modernbert-llm-router") model = AutoModelForSequenceClassification.from_pretrained("esekeroglu/modernbert-llm-router") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdf9f57bc93ac2b6da23c7fc8dbf37369b15d3b3cce52f97b8cb09c40b898cc4
- Size of remote file:
- 5.37 kB
- SHA256:
- c3d622d13f581487c5429f6d3f6bd93a37fc70e24e44987cb3eeedd37f2e6a0c
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