Text Classification
Transformers
Safetensors
English
modernjev
decision-making
modernbert
classification
noul
scoring
tasksource
jev
typed-decisions
calibration
Instructions to use tasksource/modernbert-tasksource-jev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tasksource/modernbert-tasksource-jev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tasksource/modernbert-tasksource-jev")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tasksource/modernbert-tasksource-jev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "backbone_name_or_path": "answerdotai/ModernBERT-base", | |
| "cls_token_id": 50281, | |
| "cross_attention_heads": 8, | |
| "dtype": "bfloat16", | |
| "hidden_size": 768, | |
| "max_context_length": 512, | |
| "max_option_length": 32, | |
| "model_type": "modernjev", | |
| "num_kinds": 3, | |
| "pad_token_id": 50283, | |
| "score_rps_weight": 0.2, | |
| "sep_token_id": 50282, | |
| "transformers_version": "4.57.6" | |
| } | |