Translation
Transformers
PyTorch
English
Azerbaijani
mt5
text2text-generation
machine-translation
english
azerbaijani
Instructions to use learningmachineaz/mt5-enaz-10m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learningmachineaz/mt5-enaz-10m 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="learningmachineaz/mt5-enaz-10m")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("learningmachineaz/mt5-enaz-10m") model = AutoModelForSeq2SeqLM.from_pretrained("learningmachineaz/mt5-enaz-10m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 780ea25bb2d4c6f78783f7e61826a18c4ecaad2864f2d126e08eb7697169e642
- Size of remote file:
- 2.33 GB
- SHA256:
- 77b6bc923f6087b669eefb44cfb38386df1da9a6baf906a5c0718b31cdcf2141
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