Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use chamdentimem/vit5-base-transcript-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chamdentimem/vit5-base-transcript-summarizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chamdentimem/vit5-base-transcript-summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("chamdentimem/vit5-base-transcript-summarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ae1ffb5954f46101f4c031795a634196853520e7e3fcc96651b6562c110bd21
- Size of remote file:
- 904 MB
- SHA256:
- f2af4b46194e6b87a1a050d59f5c601d42ce60a5bbfd3a3889a3549a927eb48f
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