Instructions to use Dich-Thuat-AI-Nhom-05/en-vi-translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dich-Thuat-AI-Nhom-05/en-vi-translator 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="Dich-Thuat-AI-Nhom-05/en-vi-translator")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Dich-Thuat-AI-Nhom-05/en-vi-translator") model = AutoModelForSeq2SeqLM.from_pretrained("Dich-Thuat-AI-Nhom-05/en-vi-translator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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