Feature Extraction
Transformers
Safetensors
modernbert
typed-decisions
decision-index
decision-model
cross-encoder
text-embeddings-inference
Instructions to use tasksource/tasksource-decider-nano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tasksource/tasksource-decider-nano with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="tasksource/tasksource-decider-nano")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("tasksource/tasksource-decider-nano") model = AutoModel.from_pretrained("tasksource/tasksource-decider-nano", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
9 days ago
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v2: shared-state joint cross-encoder (ettin-reranker-150m), Decision Index 0.3 run; v1 kept at tag v1
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13 days ago
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Upload folder using huggingface_hub
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Upload folder using huggingface_hub
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17 days ago
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v3 weights: noulhalved-1M + 10% procedural (cbv2 60.5/60.0, b77 47.8)
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21 days ago
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v0: 512k natural typed sq_o (dev_selected step 4000) + card
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