Instructions to use TigreGotico/opus-mt-en-az-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TigreGotico/opus-mt-en-az-onnx 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="TigreGotico/opus-mt-en-az-onnx")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("TigreGotico/opus-mt-en-az-onnx") model = AutoModelForSeq2SeqLM.from_pretrained("TigreGotico/opus-mt-en-az-onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62534420f70049d4b72d2371d98df94cc73780b7f15ae9ed55e596bc5e5aeef2
- Size of remote file:
- 198 MB
- SHA256:
- df66ca072d83fc3fe9d1545cdf2aff14003b3069bd9bc2eb7b86ae0557de6d54
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