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
File size: 249 Bytes
dafb15c | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"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
} |