Instructions to use SLPL/t5-fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SLPL/t5-fa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SLPL/t5-fa") model = AutoModelForSeq2SeqLM.from_pretrained("SLPL/t5-fa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbbe6b4e7573498a89db69e9b8db9f61ab245b4613bcc0405254b0179b389763
- Size of remote file:
- 2.18 MB
- SHA256:
- 6dfdd51123aea9901f6c3f3cbc6f1fab346c12c7b44c37eb9f6e40ebd36b0265
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