Instructions to use CLAck/vi-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLAck/vi-en 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="CLAck/vi-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CLAck/vi-en") model = AutoModelForSeq2SeqLM.from_pretrained("CLAck/vi-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09068dce7b1177c7e3812a68ebb0c108f7fea98e509f5de9c3b27937531140b7
- Size of remote file:
- 3.18 kB
- SHA256:
- 207fce37e3dbb32a2a36a00652daa1266c9666454c7d1cb7c2746b5705901905
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