Instructions to use Sharpaxis/t5-fintuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sharpaxis/t5-fintuned with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sharpaxis/t5-fintuned") model = AutoModelForSeq2SeqLM.from_pretrained("Sharpaxis/t5-fintuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 932a9b2b1413fd8cd3c98f0012d557ae0f3c18969f6c6828fd653e562128d95a
- Size of remote file:
- 5.43 kB
- SHA256:
- 991cb5fb9f25f79c74ae62b0a0e90d736b4fd24a30f3e100de08b7f48af175e5
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