Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use HARDYCHEN/text_summarization_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HARDYCHEN/text_summarization_finetuned with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("HARDYCHEN/text_summarization_finetuned") model = AutoModelForMultimodalLM.from_pretrained("HARDYCHEN/text_summarization_finetuned") - Notebooks
- Google Colab
- Kaggle
text_summarization_finetuned / runs /Apr25_02-51-07_0423-173034-yjob166g-10-228-67-17 /events.out.tfevents.1714013470.0423-173034-yjob166g-10-228-67-17.1880.0
- Xet hash:
- 763f1677b3b5074273037ae811418e8096c4c11ccc97111ad80f991df2fe08e6
- Size of remote file:
- 13 kB
- SHA256:
- d1ed11f2184a67a7c36a0cdb5d19c0a16687b98c5c1c9e84d56ec700867f9b69
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