Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use vishnun0027/Text_Summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vishnun0027/Text_Summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vishnun0027/Text_Summarization") model = AutoModelForSeq2SeqLM.from_pretrained("vishnun0027/Text_Summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24382c70baabdac9f0c5550bdb21f551bc0815929fc1f9aa5cb8f9cd7ab13c65
- Size of remote file:
- 5.37 kB
- SHA256:
- 56a37f7033c2764143b8cdb4cf445255d05eb5d32619a84e86042542ef0f7645
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.