Transformers
Safetensors
English
t5
text2text-generation
text-summarization
Generated from Trainer
text-generation-inference
Instructions to use agentlans/text-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agentlans/text-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("agentlans/text-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("agentlans/text-summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- adabb9e5737e0aad1f7692308ca526fcd530bdb2f48bafba32c671f06c311e4e
- Size of remote file:
- 242 MB
- SHA256:
- c45451090f738291073f43a87918d8f3c94c97a23ce24543100114626e906a8f
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