Instructions to use WindyTranslate/translate-mk-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-mk-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="WindyTranslate/translate-mk-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-mk-es") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-mk-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Model card: correct licence metadata, add LICENSE, link windytranslate.com
Verified signatureMetadata/documentation only: weights, configs, tokenizers and file paths are unchanged.ecc853c
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cards: rename merge method lora-fog -> windy-hallmark
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Promote lora build from WindstormLabs/translate-mk-es, with attribution and change statement
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initial commit
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