Instructions to use deeplearningwithpython5240/summarisation-t5-finetuned-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deeplearningwithpython5240/summarisation-t5-finetuned-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("deeplearningwithpython5240/summarisation-t5-finetuned-model") model = AutoModelForSeq2SeqLM.from_pretrained("deeplearningwithpython5240/summarisation-t5-finetuned-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from deeplearningwithpython5240/summarisation-t5-finetuned-model: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/deeplearningwithpython5240/summarisation-t5-finetuned-model/resolve/main/model.safetensors
- Command line
-
hf download hf://deeplearningwithpython5240/summarisation-t5-finetuned-model/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/deeplearningwithpython5240/summarisation-t5-finetuned-model/resolve/main/model.safetensors
242 MB
- Xet hash:
- a78bb441b2d4ee3878013de526c46953a48d4f1c2a64e429171af87a80fdd1f7
- Size of remote file:
- 242 MB
- SHA256:
- 82afa6badca60b7225ba19d650d1de8aa32e89c19ac482e1a347a863551bb4a6
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