Instructions to use CLAck/en-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLAck/en-vi 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/en-vi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CLAck/en-vi") model = AutoModelForSeq2SeqLM.from_pretrained("CLAck/en-vi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c257bb2a5d17c6401926ccbb5854124b7325f2c79c2416eb8b12b7de52b9b31a
- Size of remote file:
- 329 MB
- SHA256:
- 078e3104554ac94b6dd8de5203bde61dbef7edd5fe9cb01f7f26fa2f0c03866d
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