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:
- f88b506fa379c227e4aa183594e27df5cc7a961b19783eecfeb1308b05a4d718
- Size of remote file:
- 1.47 kB
- SHA256:
- 6a24e34950d39b6dd56b12cce4107aa557148473c4972111b61f5d0bfe94716d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.