Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use SarthakKumar571999/summarization_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SarthakKumar571999/summarization_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SarthakKumar571999/summarization_model") model = AutoModelForSeq2SeqLM.from_pretrained("SarthakKumar571999/summarization_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6efe751d08e655906286ada85a3fa0bf5390a3ce009c0ec643f0b2c45ee2ee33
- Size of remote file:
- 5.3 kB
- SHA256:
- d22272448c5f11420435940257e03c66c6a424c70439e38443cb6d0131c0219a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.