Transformers
PyTorch
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use peterbeamish/trained_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peterbeamish/trained_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("peterbeamish/trained_model") model = AutoModelForSeq2SeqLM.from_pretrained("peterbeamish/trained_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a549c77802f019aae53901de7bacbd628b220740499d7f9fc98adf06d2dc4573
- Size of remote file:
- 308 MB
- SHA256:
- 741144121518df3bcb91f5111ecc4fea4c3ddcb016d849203a9ef046779f8bdf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.