Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AdamLucek/ModernBERT-large-llm-router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdamLucek/ModernBERT-large-llm-router with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AdamLucek/ModernBERT-large-llm-router")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AdamLucek/ModernBERT-large-llm-router") model = AutoModelForSequenceClassification.from_pretrained("AdamLucek/ModernBERT-large-llm-router", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AdamLucek/ModernBERT-large-llm-router: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/AdamLucek/ModernBERT-large-llm-router/resolve/main/training_args.bin
- Command line
-
hf download hf://AdamLucek/ModernBERT-large-llm-router/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AdamLucek/ModernBERT-large-llm-router/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- c9d9db5efa761f1f4d5d32283cafe5cb499b1c10adb7488571fa28228f0507cb
- Size of remote file:
- 5.37 kB
- SHA256:
- 4f5e15ce9d5c46e0890d8568cd1f314d30a23dd6314280c44964c03265994a02
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