Instructions to use NLPclass/mt5_base_translation_en_to_fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NLPclass/mt5_base_translation_en_to_fa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NLPclass/mt5_base_translation_en_to_fa") model = AutoModelForSeq2SeqLM.from_pretrained("NLPclass/mt5_base_translation_en_to_fa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 224e25d6343fd70d7fd0a65991d1232254de98eca1dba7b6dad0cd35187790a3
- Size of remote file:
- 2.33 GB
- SHA256:
- f55f8f797050d945881c57fbafa41c3ef226895954df1c3c70481558304ed10e
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