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:
- 046e84aece8ced4d942f3fb5d508be9ac0a993974460f26a055e6e219a995b9d
- Size of remote file:
- 1.38 kB
- SHA256:
- f4bcb7279143a7253dbdae3618e4ac776d6e4a1395b9ed9fcb9bc00d72d1520b
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