Instructions to use staka/takomt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use staka/takomt 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="staka/takomt")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("staka/takomt") model = AutoModelForSeq2SeqLM.from_pretrained("staka/takomt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update models for transformers==4.30.*
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Update models for transformers==4.30.*
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (eb1675e810e579ce4ddbd9aeae28399ea571bbd6) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>866094d
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Add multilingual to the language tag (#1)
- Add multilingual to the language tag (0d1865c5099e5cd4678a943cd21042099aef3481) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>6ffc15f
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Update the model and add an eval section
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Upload source.spm with git-lfs
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initial commit
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