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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WhirlwindAI/Translate-25T") model = AutoModelForSeq2SeqLM.from_pretrained("WhirlwindAI/Translate-25T", device_map="auto") - Notebooks
- Google Colab
- Kaggle
checkpoint-3000
Browse files- model.safetensors +1 -1
- optimizer.pt +1 -1
- rng_state.pth +1 -1
- scaler.pt +1 -1
- scheduler.pt +1 -1
- trainer_state.json +89 -3
model.safetensors
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optimizer.pt
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scaler.pt
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trainer_state.json
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