Instructions to use WindyTranslate/translate-run-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-run-en 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-run-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-run-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-run-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-run-en, with attribution and change statement
f3a387c verified - Xet hash:
- 1456acc58ce9a21e4c252d5ee632b1a7797e81f62b3e2acf03adf7ec983180d6
- Size of remote file:
- 811 kB
- SHA256:
- 9fb1d5a67cce2d76994f405e0b3103e09b2c4f3326cd55cf7667bfe426166c6f
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