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:
- 4ad9d57720c9b1c1b0d43c6abdf49072f113711ac10703ad791238255e785318
- Size of remote file:
- 3.18 kB
- SHA256:
- 4eb5f0e16f572f66961b09a0eee092f1f6edac6be7cb8ce96c531b70a415fbca
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