Instructions to use zenlm/zen-translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zenlm/zen-translator 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="zenlm/zen-translator")# Load model directly from transformers import ZenTranslatorForSpeechTranslation model = ZenTranslatorForSpeechTranslation.from_pretrained("zenlm/zen-translator", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add model weights
Browse files
flow.pt
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hift.pt
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oid sha256:3386cc880324d4e98e05987b99107f49e40ed925b8ecc87c1f4939432d429879
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llm.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:b144ef55b51ce8cfb79a73c90dbba0bdaba4e451c0ebcfab20f769264f84a608
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size 2023316821
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