Instructions to use maxbsdv/LEO-seamless-m4t-v2-large-Roverplastik with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use maxbsdv/LEO-seamless-m4t-v2-large-Roverplastik with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/seamless-m4t-v2-large") model = PeftModel.from_pretrained(base_model, "maxbsdv/LEO-seamless-m4t-v2-large-Roverplastik") - Transformers
How to use maxbsdv/LEO-seamless-m4t-v2-large-Roverplastik with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("maxbsdv/LEO-seamless-m4t-v2-large-Roverplastik", dtype="auto") - Notebooks
- Google Colab
- Kaggle
LEO Seamless-M4T v2 Large Roverplastik Adapter
This repository contains the LoRA adapter for LEO, a domain-adapted multilingual translation model for Roverplastik technical content.
The adapter is fine-tuned from:
facebook/seamless-m4t-v2-large
It is intended for technical translations among Italian, English, French, and Spanish, with a focus on window systems, installation manuals, insulation, monoblocchi, cassonetti, airtightness, and related building-envelope terminology.
Model Details
- Base model:
facebook/seamless-m4t-v2-large - Adapter type: PEFT LoRA
- Training framework: PyTorch Lightning + QLoRA
- Precision: bf16 mixed precision, 4-bit base model loading
- Hardware used: NVIDIA RTX 4090
- Released adapter path:
leo_hf_release
Training Checkpoint
The exported adapter was selected from the best validation checkpoint:
seamless-m4t-v2-large-finetuned-epoch=05-val_loss=0.54.ckpt
The benchmark was run directly from this .ckpt before export. The Hugging Face adapter export is used only for release and deployment.
Evaluation
Benchmark command:
python scripts/leo.py benchmark
Evaluation set:
data/gold/test_set.csv- 1005 translation samples
- directions among Italian, English, French, and Spanish
Global results:
| Metric | Base Seamless-M4T | LEO adapter | Absolute delta |
|---|---|---|---|
| BLEU | 0.3173 | 0.5806 | +0.2633 |
| chrF | 0.5320 | 0.7382 | +0.2061 |
| METEOR | 0.4749 | 0.7255 | +0.2505 |
Regression check:
152 / 1005 samples regressed by chrF = 15.1%
The model shows a strong global improvement over the base model, especially on technical terminology and domain-specific phrasing. Remaining regressions are mostly concentrated in selected non-Italian cross-language directions and in minor function-word differences.
Usage
The adapter is designed to be loaded with PEFT on top of facebook/seamless-m4t-v2-large.
Example with the project CLI:
python scripts/leo.py infer \
--src-lang eng_Latn \
--tgt-lang ita_Latn \
--text "This window profile ensures excellent air tightness."
Expected smoke-test output:
Questo profilo di finestra garantisce un'eccellente tenuta all'aria.
The public Space uses the ADAPTER_PATH environment variable to point to this adapter repository.
Intended Use
Use this model for assisted translation and review of Roverplastik-style technical material:
- installation manuals
- technical datasheets
- product catalog text
- building-envelope documentation
- multilingual internal validation workflows
The model is not a substitute for human review in legal, certified, contractual, or safety-critical documentation.
Limitations
- The benchmark set includes synthetic and curated examples; final production quality should still be checked by domain experts.
- Some regressions remain versus the base model, especially in selected cross-language directions.
- The model may occasionally alter small function words or produce acceptable paraphrases that score lower under character-level metrics.
- The model is optimized for the Roverplastik/building-envelope domain, not for broad general-purpose translation.
Framework Versions
- PEFT 0.18.0
- Transformers 4.57.3
- Downloads last month
- 6
Model tree for maxbsdv/LEO-seamless-m4t-v2-large-Roverplastik
Base model
facebook/seamless-m4t-v2-large