Text Classification
Transformers
Safetensors
English
qwen3_5_text
text-generation
typed-decision
structured-output
calibration
decision-making
deltanet
linear-attention
Instructions to use flock-io/this-that-model-1.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flock-io/this-that-model-1.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="flock-io/this-that-model-1.2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("flock-io/this-that-model-1.2") model = AutoModelForCausalLM.from_pretrained("flock-io/this-that-model-1.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
26 days ago
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Latency measured on RTX 5080 Laptop
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Card: drop the architecture and latency-method block
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Card reports results; drop the rendering grid
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Card without training detail; figures with neutral captions
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1.2: composed decisions, and rules read however they are written
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initial commit
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