Instructions to use WindyTranslate/translate-ln-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-ln-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-ln-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-ln-es") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-ln-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-ln-es, with attribution and change statement
93ad5ab verified - Xet hash:
- 77fc8ceb164a36e7582bfd19f311d23dffc92304670a5f5f7694ae02735ac7a2
- Size of remote file:
- 811 kB
- SHA256:
- f4a202854977d1a510dbd19f7fa08c0a5a386fb3fdd0841adc1d30b0e9846322
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