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:
- d98df73917e31f2134518d2b697aab88a75f95a826cb72523f69042c15a4ffb6
- Size of remote file:
- 451 kB
- SHA256:
- b0a4133c5eedaf9c3f880314bccc94a000251dc0a207e2df736b35273ccb68b4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.