Transformers
TensorFlow
TensorBoard
Safetensors
t5
text2text-generation
generated_from_keras_callback
text-generation-inference
Instructions to use Ayon128/T5_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayon128/T5_Model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayon128/T5_Model") model = AutoModelForSeq2SeqLM.from_pretrained("Ayon128/T5_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a9953179504c4aef010a71f52c863e37b04aed0905b6ffb0c735c8359bcdce6
- Size of remote file:
- 4.28 kB
- SHA256:
- b579a0353a4a246c2d1ab68c43127d067baf60a7ec3a8d559741ba70c85630da
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.