Instructions to use WindyTranslate/translate-en-ln with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-en-ln 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-en-ln")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-en-ln") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-en-ln", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8160830eff012ac32faecff97e650471eb5a3409e434e82749ca5d6ad76c18d3
- Size of remote file:
- 823 kB
- SHA256:
- 2b49783dce446959da5c33a474ece79b14f4f062934645d2847c0a09cfdd1a9b
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