Instructions to use Miladsol/umt5-base_En-to-Fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Miladsol/umt5-base_En-to-Fa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Miladsol/umt5-base_En-to-Fa") model = AutoModelForSeq2SeqLM.from_pretrained("Miladsol/umt5-base_En-to-Fa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 733c1fab96c81eb6a24d5ccfbcaef58f1673371587a501e038817777846ae0b8
- Size of remote file:
- 16.8 MB
- SHA256:
- 70871ea3d29263adfa11187d67795da823afc99004bc2af25021edbff4b9954d
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