Instructions to use WindstormLabs/translate-eo-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-eo-ru 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="WindstormLabs/translate-eo-ru")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-eo-ru", dtype="auto") - Notebooks
- Google Colab
- Kaggle
clone from WindyWord/translate-eo-ru via local upload (ADR-039 Phase C)
Browse files- .gitattributes +2 -0
- README.md +73 -0
- lora/config.json +56 -0
- lora/generation_config.json +16 -0
- lora/model.safetensors +3 -0
- lora/source.spm +3 -0
- lora/special_tokens_map.json +5 -0
- lora/target.spm +3 -0
- lora/tokenizer_config.json +38 -0
- lora/vocab.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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lora/source.spm filter=lfs diff=lfs merge=lfs -text
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lora/target.spm filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: cc-by-4.0
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tags:
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- translation
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- marian
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- windyword
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- esperanto
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- russian
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language:
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- eo
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- ru
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library_name: transformers
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pipeline_tag: translation
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---
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# WindyWord.ai Translation — Esperanto → Russian
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**Translates Esperanto → Russian.**
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**Quality Rating: ⭐⭐⭐⭐ (4.0★ Standard)**
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Part of the [WindyWord.ai](https://windyword.ai) translation fleet — 1,800+ proprietary language pairs.
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## Quality & Pricing Tier
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- **5-star rating:** 4.0★ ⭐⭐⭐⭐
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- **Tier:** Standard
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- **Composite score:** 74.6 / 100
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- **Rated via:** Grand Rounds v2 — an 8-test stress battery (paragraphs, multi-paragraph, native input, domain stress, edge cases, round-trip fidelity, speed, and consistency checks)
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## Available Variants
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This repository contains multiple deployment formats. Pick the one that matches your use case:
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| Variant | Description |
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|---|---|
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| `lora/` | **WindyStandard** — our proprietary production baseline. Stable, reliable, optimized for GPU inference. |
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### Quick usage
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**Transformers (PyTorch):**
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```python
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from transformers import MarianMTModel, MarianTokenizer
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tokenizer = MarianTokenizer.from_pretrained("WindyWord/translate-eo-ru", subfolder="lora")
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model = MarianMTModel.from_pretrained("WindyWord/translate-eo-ru", subfolder="lora")
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```
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**CTranslate2 (fast CPU inference):**
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```python
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import ctranslate2
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translator = ctranslate2.Translator("path/to/translate-eo-ru/lora-ct2-int8")
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```
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## Commercial Use
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The WindyWord.ai platform provides:
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- **Mobile apps** (iOS, Android — coming soon)
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- **Real-time voice-to-text-to-translation** pipeline
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- **API access** with premium model quality
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- **Offline deployment** support
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Visit [windyword.ai](https://windyword.ai) for apps and commercial API access.
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---
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## Provenance & License
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Weights derived from the OPUS-MT project ([Helsinki-NLP/opus-mt-eo-ru](https://huggingface.co/Helsinki-NLP/opus-mt-eo-ru)) under CC-BY-4.0. WindyStandard, WindyEnhanced, and WindyScripture variants are proprietary to WindyWord.ai, independently trained and quality-certified via our Grand Rounds v2 test battery.
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Licensed CC-BY-4.0 — attribution preserved as required.
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*Certified by Opus 4.6 Opus-Claw (Dr. C) on Veron-1 (RTX 5090).*
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*Patient file: [clinic record](https://github.com/sneakyfree/Windy-Clinic/blob/main/translation-pairs/eo-ru.json)*
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lora/config.json
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{
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"_name_or_path": "/home/user1-gpu/Desktop/grants_folder/windy-pro/models/windy-pair-eo-ru/base",
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| 3 |
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"activation_dropout": 0.0,
|
| 4 |
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"activation_function": "swish",
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| 5 |
+
"add_bias_logits": false,
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| 6 |
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"add_final_layer_norm": false,
|
| 7 |
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"architectures": [
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| 8 |
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"MarianMTModel"
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| 9 |
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],
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| 10 |
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"attention_dropout": 0.0,
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| 11 |
+
"bos_token_id": 0,
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| 12 |
+
"classif_dropout": 0.0,
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| 13 |
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"classifier_dropout": 0.0,
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| 14 |
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"d_model": 512,
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| 15 |
+
"decoder_attention_heads": 8,
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| 16 |
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"decoder_ffn_dim": 2048,
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| 17 |
+
"decoder_layerdrop": 0.0,
|
| 18 |
+
"decoder_layers": 6,
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| 19 |
+
"decoder_start_token_id": 7729,
|
| 20 |
+
"decoder_vocab_size": 7730,
|
| 21 |
+
"dropout": 0.1,
|
| 22 |
+
"encoder_attention_heads": 8,
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| 23 |
+
"encoder_ffn_dim": 2048,
|
| 24 |
+
"encoder_layerdrop": 0.0,
|
| 25 |
+
"encoder_layers": 6,
|
| 26 |
+
"eos_token_id": 0,
|
| 27 |
+
"extra_pos_embeddings": 7730,
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| 28 |
+
"forced_eos_token_id": 0,
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| 29 |
+
"id2label": {
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| 30 |
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"0": "LABEL_0",
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| 31 |
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"1": "LABEL_1",
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| 32 |
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"2": "LABEL_2"
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},
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| 34 |
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"init_std": 0.02,
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| 35 |
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"is_encoder_decoder": true,
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| 36 |
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"label2id": {
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| 37 |
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"LABEL_0": 0,
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| 38 |
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"LABEL_1": 1,
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| 39 |
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"LABEL_2": 2
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| 40 |
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},
|
| 41 |
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"max_length": null,
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| 42 |
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"max_position_embeddings": 512,
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| 43 |
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"model_type": "marian",
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| 44 |
+
"normalize_before": false,
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| 45 |
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"normalize_embedding": false,
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| 46 |
+
"num_beams": null,
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| 47 |
+
"num_hidden_layers": 6,
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| 48 |
+
"pad_token_id": 7729,
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| 49 |
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"scale_embedding": true,
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| 50 |
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"share_encoder_decoder_embeddings": true,
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| 51 |
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"static_position_embeddings": true,
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| 52 |
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"torch_dtype": "float32",
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| 53 |
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"transformers_version": "4.45.1",
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| 54 |
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"use_cache": true,
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| 55 |
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"vocab_size": 7730
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| 56 |
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}
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lora/generation_config.json
ADDED
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{
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"bad_words_ids": [
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[
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| 4 |
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7729
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| 5 |
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]
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],
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| 7 |
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"bos_token_id": 0,
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| 8 |
+
"decoder_start_token_id": 7729,
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| 9 |
+
"eos_token_id": 0,
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| 10 |
+
"forced_eos_token_id": 0,
|
| 11 |
+
"max_length": 512,
|
| 12 |
+
"num_beams": 4,
|
| 13 |
+
"pad_token_id": 7729,
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| 14 |
+
"renormalize_logits": true,
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| 15 |
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"transformers_version": "4.45.1"
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| 16 |
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}
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lora/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c2d6708e1fc1478c9127821d71e1e69133563e456e0ffb1bd42440d8789469ce
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| 3 |
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size 192444992
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lora/source.spm
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version https://git-lfs.github.com/spec/v1
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oid sha256:4552c7d71431e916e1094696d1043cb71a7eec85b1bfc468d7a38121fa180469
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size 303370
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lora/special_tokens_map.json
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{
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"eos_token": "</s>",
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"pad_token": "<pad>",
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| 4 |
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"unk_token": "<unk>"
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| 5 |
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}
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lora/target.spm
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:99321746715585949fcdab1e2663947f8162e23d546b65de57637f1b1fbf6f12
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| 3 |
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size 321255
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lora/tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "</s>",
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"lstrip": false,
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| 6 |
+
"normalized": false,
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| 7 |
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"rstrip": false,
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| 8 |
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"single_word": false,
|
| 9 |
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"special": true
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| 10 |
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},
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| 11 |
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"1": {
|
| 12 |
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"content": "<unk>",
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| 13 |
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"lstrip": false,
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| 14 |
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"normalized": false,
|
| 15 |
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"rstrip": false,
|
| 16 |
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"single_word": false,
|
| 17 |
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"special": true
|
| 18 |
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},
|
| 19 |
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"7729": {
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| 20 |
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"content": "<pad>",
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| 21 |
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"lstrip": false,
|
| 22 |
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"normalized": false,
|
| 23 |
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"rstrip": false,
|
| 24 |
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"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
"clean_up_tokenization_spaces": false,
|
| 29 |
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"eos_token": "</s>",
|
| 30 |
+
"model_max_length": 512,
|
| 31 |
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"pad_token": "<pad>",
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| 32 |
+
"separate_vocabs": false,
|
| 33 |
+
"source_lang": "epo",
|
| 34 |
+
"sp_model_kwargs": {},
|
| 35 |
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"target_lang": "rus",
|
| 36 |
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"tokenizer_class": "MarianTokenizer",
|
| 37 |
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"unk_token": "<unk>"
|
| 38 |
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}
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lora/vocab.json
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