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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3727f739078818408756c07b82b4e947759693a1272555fb48f695009278186d
- Size of remote file:
- 5.11 kB
- SHA256:
- 2b9b3067184a0eb516c3d7882d06128d48dc30ffe5a7c2b93781a3c1ace13bb7
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