Instructions to use dusersad12/StableT5-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/StableT5-TestRepo with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dusersad12/StableT5-TestRepo") model = AutoModelForSeq2SeqLM.from_pretrained("dusersad12/StableT5-TestRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload StableT5 champion checkpoint (run_D), model card with real scores, and figures
dafb15c verified | { | |
| "model_type": "t5", | |
| "architectures": ["T5ForConditionalGeneration"], | |
| "d_model": 512, | |
| "d_ff": 2048, | |
| "num_layers": 6, | |
| "num_heads": 8, | |
| "vocab_size": 32128, | |
| "run_id": "run_D", | |
| "learning_rate": 2e-4, | |
| "batch_size": 32, | |
| "seed": 42 | |
| } |