Instructions to use WhirlwindAI/Translate-25T with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WhirlwindAI/Translate-25T 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="WhirlwindAI/Translate-25T")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WhirlwindAI/Translate-25T") model = AutoModelForSeq2SeqLM.from_pretrained("WhirlwindAI/Translate-25T") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8db7d2308a62b7b229894d8cf86ceaa514b1c233bd09cce43cd89d5dd3734ff3
- Size of remote file:
- 5.14 kB
- SHA256:
- 91a4c16ea673b8d89654d8d1ba2bab528bba3bb695f6bdd28d54f78ab30bfb17
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