Transformers
Safetensors
Persian
mt5
text2text-generation
persian
mt5-small
persian translation
seq2seq
farsi
Instructions to use NLPclass/mt5_en_fa_translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NLPclass/mt5_en_fa_translation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NLPclass/mt5_en_fa_translation") model = AutoModelForSeq2SeqLM.from_pretrained("NLPclass/mt5_en_fa_translation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 562c1196937a2ec39d0ffb60e6ae60415691c4f7055bb9bf3e0f6c352161a094
- Size of remote file:
- 1.2 GB
- SHA256:
- 648ecde330ac6d392a9297d3804ddad96316520bc2fc98b124348b5200859916
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