Instructions to use WindyTranslate/translate-af-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-af-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="WindyTranslate/translate-af-ru")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyTranslate/translate-af-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add tokenizer files to the herm0-ct2-int8 folder so it is usable standalone
Browse filesThe folder shipped config.json + model.bin + shared_vocabulary.json only. CTranslate2 loads those, but translating needs the Marian tokenizer, which lived one folder away in herm0/ - so a developer downloading just this variant got a model they could not run. Files copied from herm0/ in this same repo and verified by an end-to-end translation before upload. Weights untouched. Dr. J (Opus 5), clinic log doctor-logs/2026-08-05_stt-fleet-qa.md
herm0-ct2-int8/special_tokens_map.json
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{
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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