Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use romainjeff/modernbert-llm-router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use romainjeff/modernbert-llm-router with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="romainjeff/modernbert-llm-router")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("romainjeff/modernbert-llm-router") model = AutoModelForSequenceClassification.from_pretrained("romainjeff/modernbert-llm-router", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from romainjeff/modernbert-llm-router: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/romainjeff/modernbert-llm-router/resolve/main/training_args.bin
- Command line
-
hf download hf://romainjeff/modernbert-llm-router/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/romainjeff/modernbert-llm-router/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 26bc21b01dd86245e167782446b20a6b8e362eeeaf074a32ebfa91a9c91ea66b
- Size of remote file:
- 5.37 kB
- SHA256:
- d0b48c17154bbcd6136d02a4aadf00ecd29601f8006e609e7591fa683bc09a7c
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