Text Classification
Transformers
Safetensors
English
modernbert
encoder
decision-model
tool-routing
agentic
preview
text-embeddings-inference
Instructions to use MaziyarPanahi/ModernJEV-Decide-Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MaziyarPanahi/ModernJEV-Decide-Preview with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MaziyarPanahi/ModernJEV-Decide-Preview")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/ModernJEV-Decide-Preview") model = AutoModelForSequenceClassification.from_pretrained("MaziyarPanahi/ModernJEV-Decide-Preview", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download evaluation/when2call-predictions.jsonl from MaziyarPanahi/ModernJEV-Decide-Preview: direct link, hf CLI and curl.
- Browser
- Download file 2.69 MB
-
https://huggingface.co/MaziyarPanahi/ModernJEV-Decide-Preview/resolve/main/evaluation/when2call-predictions.jsonl
- Command line
-
hf download hf://MaziyarPanahi/ModernJEV-Decide-Preview/evaluation/when2call-predictions.jsonl
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curl -L -o when2call-predictions.jsonl https://huggingface.co/MaziyarPanahi/ModernJEV-Decide-Preview/resolve/main/evaluation/when2call-predictions.jsonl
2.69 MB
File too large to display, you can check the raw version instead.