Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use GCruz19/Gen_Z_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GCruz19/Gen_Z_Model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GCruz19/Gen_Z_Model") model = AutoModelForSeq2SeqLM.from_pretrained("GCruz19/Gen_Z_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6789fad228f7a41cfc7fa576afd462ee5af878803f8f8fc0201da020240aaeb
- Size of remote file:
- 242 MB
- SHA256:
- e7b547fad1f7c9ff030522fe43ecab0d5d28d9c07c2616deb46ba5200a6f7a26
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.