Instructions to use NLPclass/mt5_base_translation_en_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_fa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NLPclass/mt5_base_translation_en_fa") model = AutoModelForSeq2SeqLM.from_pretrained("NLPclass/mt5_base_translation_en_fa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e09c9bf1043a477bc40678c57ddf2b0a0cb16c634c5123e21c930719f5049f19
- Size of remote file:
- 2.33 GB
- SHA256:
- 135dbd28cf6f21aab5b6b3b736fba2742c5f633c6d4a7b8c0ca01d34e4fc98ea
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