Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use henri28/small_dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henri28/small_dataset with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("henri28/small_dataset") model = AutoModelForMultimodalLM.from_pretrained("henri28/small_dataset") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2781eb05b5664e3807d29838adb6f1e563b40ff91d69815601bdb11dbfaa57db
- Size of remote file:
- 3.71 kB
- SHA256:
- bd49940f9444a6bdd9e52131ebad02bbd99d913eddc576e1534714c1805439cf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.