Transformers
PyTorch
TensorBoard
t5
text2text-generation
medium-summarization
Generated from Trainer
text-generation-inference
Instructions to use vectorian/t5-small-finetuned-tds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vectorian/t5-small-finetuned-tds with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vectorian/t5-small-finetuned-tds") model = AutoModelForSeq2SeqLM.from_pretrained("vectorian/t5-small-finetuned-tds", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43179aeae93732a70900aa824e7e465ff63a203071c4441f96f98d0c03e323cb
- Size of remote file:
- 242 MB
- SHA256:
- c20276ad12758eb612589ed0e29c943a09bf0e88f1ff6280e18a17c6b2a89ddc
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