Instructions to use rahular/varta-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rahular/varta-t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rahular/varta-t5") model = AutoModelForSeq2SeqLM.from_pretrained("rahular/varta-t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0da68c7bc70a700f88b13031b33c956b08a51c475ddbcc34d4b5d1cebaf368c3
- Size of remote file:
- 1.58 GB
- SHA256:
- 7d057ec33892e82e6e85fb0e0176c88c0652087b3318b3b8858cef62ac6e0035
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