Instructions to use abbasmahmudiai/MT5_en_to_persian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abbasmahmudiai/MT5_en_to_persian 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="abbasmahmudiai/MT5_en_to_persian")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("abbasmahmudiai/MT5_en_to_persian") model = AutoModelForSeq2SeqLM.from_pretrained("abbasmahmudiai/MT5_en_to_persian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc2e8275ff08b5218018df17f7988d6414be7cebbeeefc7882740cff70609631
- Size of remote file:
- 4.12 MB
- SHA256:
- be93e7c9b3147f7483314dc35e7a51936da5405ba416b8675db4c534b40ef054
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