Transformers
PyTorch
ONNX
Safetensors
English
t5
text2text-generation
summary
summarizer
Eval Results (legacy)
text-generation-inference
Instructions to use shorecode/t5-efficient-tiny-summarizer-general-purpose-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shorecode/t5-efficient-tiny-summarizer-general-purpose-v3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shorecode/t5-efficient-tiny-summarizer-general-purpose-v3") model = AutoModelForSeq2SeqLM.from_pretrained("shorecode/t5-efficient-tiny-summarizer-general-purpose-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-700/tokenizer.json from shorecode/t5-efficient-tiny-summarizer-general-purpose-v3: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/shorecode/t5-efficient-tiny-summarizer-general-purpose-v3/resolve/refs%2Fpr%2F1/checkpoint-700/tokenizer.json
- Command line
-
hf download hf://shorecode/t5-efficient-tiny-summarizer-general-purpose-v3@refs/pr/1/checkpoint-700/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/shorecode/t5-efficient-tiny-summarizer-general-purpose-v3/resolve/refs%2Fpr%2F1/checkpoint-700/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.