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")# 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
Promote lora build from WindstormLabs/translate-mk-es, with attribution and change statement
8788f1a verified - Xet hash:
- 7433b4dfdc6e8acff3d9d72cc613ed1421be563447d5f317cd84191459e263e8
- Size of remote file:
- 1.01 MB
- SHA256:
- b5502c2381c7a9e122e53f2a4e425648d9fea8c56ab0632a6b2cd971bec55c18
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