Instructions to use WindyTranslate/translate-lt-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-lt-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-lt-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-lt-es") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-lt-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-lt-es, with attribution and change statement
18b20dc verified - Xet hash:
- 3b4734e7b5d690612714f9dac17244a4ca01143ad91cf1b16c0d4d3419a42027
- Size of remote file:
- 839 kB
- SHA256:
- c6bd310045566d83eab4047498c7310dec0be8407b582bd35de0397eba9685ed
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