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:
- 9e784381467f3d121a5224610c7c68b2a6bcc6c6e4ee54cd739f0a003fa43563
- Size of remote file:
- 4.54 kB
- SHA256:
- c37e26ad547279f14cced0d4f87f29cd6c5e73b7116067578120c3b722bc77ec
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