Instructions to use WindyWord/translate-yo-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-yo-es with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WindyWord/translate-yo-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-yo-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
translate-yo-es — Yoruba to Spanish
Fine-tuned by Windstorm Labs from
Helsinki-NLP/opus-mt-yo-es.
Attribution
Derived from Helsinki-NLP/opus-mt-yo-es, copyright the Helsinki-NLP / OPUS-MT project,
licensed under Apache-2.0. Modified by Windstorm Labs. The upstream notice is
retained as the licence requires.
Contents
| Directory | Contents |
|---|---|
lora/ |
Windstorm Labs fine-tune. |
lora-ct2-int8/ |
CTranslate2 INT8 build of the fine-tune. Recommended for CPU inference. |
herm0/ |
Upstream weights, retained for reference. |
herm0-ct2-int8/ |
CTranslate2 INT8 build of the upstream weights. |
What we did
LoRA fine-tune on GlobalVoices Yoruba–Spanish parallel data — the model's own language pair — merged into the base weights, then quantized to INT8.
| Rank / alpha | 8 / 16 |
| Learning rate / steps | 2.5e-06 / 50 |
| Target modules | q_proj, v_proj |
| Seed | 42 |
| Training data | GlobalVoices yo-es, 113 sentence pairs |
| Tensors modified | 36 of 259 |
Provenance
upstream model.bin sha256 ac8f61aa0c8eb6c36b02c1e656facbe8bd581cc6623a10e5817e223099dbb3dc
our model.bin sha256 770efc87c1c46cff851f461666ed8ec1d2e1c69685dfaae5e7dc30412a51acc6
Verified after INT8 quantization, on the published artifact.
Notes
- Yoruba–Spanish is a low-resource pair; quality follows the base model.
- No FLORES-200 score is published for this pair because none has been measured.
- No human evaluation was performed.
Model tree for WindyWord/translate-yo-es
Base model
Helsinki-NLP/opus-mt-yo-es