Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use rushikeshwalode/summarization_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rushikeshwalode/summarization_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rushikeshwalode/summarization_model") model = AutoModelForSeq2SeqLM.from_pretrained("rushikeshwalode/summarization_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rushikeshwalode/summarization_model: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/rushikeshwalode/summarization_model/resolve/main/training_args.bin
- Command line
-
hf download hf://rushikeshwalode/summarization_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rushikeshwalode/summarization_model/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 1373e296e9ed25ea57bcbebab22528fe18101305ce0b7608eaf1c19d7fda0b67
- Size of remote file:
- 5.91 kB
- SHA256:
- 5c022a974e1dcae88b704eb4e533ece59ce9119dcc3fa07b2a781d9e267711fe
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