Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use chamdentimem/ViT5_Dialogue_Summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chamdentimem/ViT5_Dialogue_Summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chamdentimem/ViT5_Dialogue_Summarization") model = AutoModelForSeq2SeqLM.from_pretrained("chamdentimem/ViT5_Dialogue_Summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from chamdentimem/ViT5_Dialogue_Summarization: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/chamdentimem/ViT5_Dialogue_Summarization/resolve/main/training_args.bin
- Command line
-
hf download hf://chamdentimem/ViT5_Dialogue_Summarization/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/chamdentimem/ViT5_Dialogue_Summarization/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 35d6204bdc8a7b8ef8a3cb87417bd2b07882ea71e4d07ef7bff25c677d91ce20
- Size of remote file:
- 5.05 kB
- SHA256:
- 06f5b44ebab1040d112433baf372bb8136b4207a80d14ff45748180625112e55
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