YAML Metadata Warning:The pipeline tag "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
WebBee Delegate Models
Fine-tuned T5-small models used by WebBee — a plain-English web development agent — for its Tier 2a inference pipeline.
Each model is an ONNX int8-quantised export of a T5-small checkpoint trained on
synthetic data. They run locally via @xenova/transformers
with no GPU required.
Models
goal-to-steps/
Decomposes a high-level development goal into a sequence of concrete WebBee commands.
This is WebBee-specific: the model knows the agent's verb vocabulary (add, inject,
install, add route, add hook, …) and the idiomatic step format used throughout
the system.
| Task | text2text-generation |
| Input | Natural-language goal (e.g. "add authentication") |
| Output | Pipe-separated WebBee steps (e.g. "add component LoginForm | add hook useAuth | add route api/auth") |
| Training examples | 533 synthetic goal→steps pairs across 8 categories |
Usage
import { pipeline } from '@xenova/transformers';
const generator = await pipeline(
'text2text-generation',
'learosema/webbee-delegate-models',
{ subfolder: 'goal-to-steps' }
);
const result = await generator('add authentication');
console.log(result[0].generated_text);
// → add component LoginForm | add hook useAuth | add route api/auth
Training
Models were trained and exported using the scripts in
packages/delegate-model/
of the WebBee repository.
Base model: google/t5-small
Quantization: ONNX int8 via optimum
License
Apache 2.0 — same as the base T5-small model.