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lCREEl
/
pick-150m

Text Classification
Transformers
Safetensors
English
modernbert
feature-extraction
decision-model
decision-transformer
ettin
cross-encoder
zero-shot-classification
classification
calibrated-probabilities
routing
multiple-choice
tool-calling
agent-decision
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use lCREEl/pick-150m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lCREEl/pick-150m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="lCREEl/pick-150m")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("lCREEl/pick-150m")
    model = AutoModel.from_pretrained("lCREEl/pick-150m", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
pick-150m
600 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 33 commits
lCREEl's picture
lCREEl
model files only
16d738a verified about 15 hours ago
  • .gitattributes
    1.52 kB
    initial commit 3 days ago
  • README.md
    15.3 kB
    Link PICK V5 leaderboard registration PR #233 3 days ago
  • config.json
    2.09 kB
    release: PICK-150M V4 Auto-Calibrated 8K Decision Transformer (68.21% Raw / 70.40% Calibrated) 3 days ago
  • model.safetensors
    596 MB
    xet
    feat: publish official PICK-150M V5 (68.84% Raw / 72.1% Heldout) 3 days ago
  • pipeline_config.json
    130 Bytes
    release: PICK-150M V4 Auto-Calibrated 8K Decision Transformer (68.21% Raw / 70.40% Calibrated) 3 days ago
  • run.json
    393 Bytes
    feat: publish official PICK-150M V5 (68.84% Raw / 72.1% Heldout) 3 days ago
  • special_tokens_map.json
    718 Bytes
    release: PICK-150M V4 Auto-Calibrated 8K Decision Transformer (68.21% Raw / 70.40% Calibrated) 3 days ago
  • tokenizer.json
    3.58 MB
    release: PICK-150M V4 Auto-Calibrated 8K Decision Transformer (68.21% Raw / 70.40% Calibrated) 3 days ago
  • tokenizer_config.json
    21 kB
    release: PICK-150M V4 Auto-Calibrated 8K Decision Transformer (68.21% Raw / 70.40% Calibrated) 3 days ago