Instructions to use WindyTranslate/translate-fiu-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-fiu-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-fiu-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-fiu-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-fiu-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cd5f10f0b981a2940fb69bd90f779455674c919cc6b812921764ece10762248
- Size of remote file:
- 828 kB
- SHA256:
- 3a2f45fad8ee9afee510653eaa9b3371775c89217f2d6e779d64422f7a6e4fea
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