Instructions to use WindyTranslate/translate-en-roa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-en-roa 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-roa")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-en-roa") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-en-roa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f9cf74cd62f8af1531a9893dea808b7c88183d3c318f21b9d3f5e132bdabf6e
- Size of remote file:
- 786 kB
- SHA256:
- 7af6d14a9f962f6c14d98d28d92f88a76e3156a04d71aebfc0e3f14e9f829170
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