mrm8488/embeddinggemma-2-ft-typed-decision
text-classification model by mrm8488
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Model card & documentation
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<img src="https://huggingface.co/mrm8488/embeddinggemma-2-ft-typed-decision/resolve/main/eg2td.png" EmbeddingGemma 2 fine-tuned for typed decisions A typed decision model: given the state of a workflow (an agent trace, a support ticket, an invoice, a security alert…) and a schema of questions, it returns a typed, calibrated answer to each question. The head scores the text of each option against the state and the question, so the schema is plain data: you can rename options, change descriptions or add new questions without retraining (answers to questions far from the training data are less reliable). Every answer is a TypedAnswer: Use answer.todict() for JSON. The tokenizer is loaded from the same repo on first use. EmbeddingGemma 2 is multilingual, so states and schemas don't have to be in English: The head was trained on English schemas only, so expect softer probabilities in other languages. Use bfloat16 (Ampere or newer) or float32. Never float16: EmbeddingGemma 2 overflows and returns NaNs…
Read the full model card ↗ · Preview checked 2026-11-01T21:12:43.465Z
Inside the original model card — Document outline
- EmbeddingGemma 2 · typed decisions
- Usage
- Schema format
- It works in other languages
- GPU and precision
- Lower-level API
- How it was built
- Results
- Limitations
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
mrm8488/embeddinggemma-2-ft-typed-decision is a text-classification model repository published by mrm8488 on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-classification
- Library
- transformers
- Recent downloads (30 days)
- 1,049
- Cumulative likes
- 61
- Hugging Face trending score
- 61
- Reported safetensors parameters
- 272,120,348
- Architecture
- GemmaDecisionModel
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-11T21:31:09.000Z
- Last modified
- 2026-10-13T17:52:04.000Z
Compatibility and lineage
Reported languages: en, multilingual
Reported base models: google/embeddinggemma-2
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-18T06:42:00.150Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.