Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use likhith231/T5-small-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use likhith231/T5-small-summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("likhith231/T5-small-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("likhith231/T5-small-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from likhith231/T5-small-summarization: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/likhith231/T5-small-summarization/resolve/main/training_args.bin
- Command line
-
hf download hf://likhith231/T5-small-summarization/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/likhith231/T5-small-summarization/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- d06bfa5ee69d2d5aadcca8a1f080de5501d53a3f0a2258090329acef4b4c74be
- Size of remote file:
- 4.86 kB
- SHA256:
- 8aabfe287a627a7b2bfbf790dbd4a47bfe2908faae4e5ec1b3b6db2e071ce01c
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