Instructions to use hf-internal-testing/tiny-random-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-t5 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-t5", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token_id": 0, | |
| "d_ff": 37, | |
| "d_kv": 8, | |
| "d_model": 32, | |
| "decoder_start_token_id": 0, | |
| "dropout_rate": 0.1, | |
| "eos_token_id": 1, | |
| "feed_forward_proj": "relu", | |
| "gradient_checkpointing": false, | |
| "initializer_factor": 0.002, | |
| "is_encoder_decoder": true, | |
| "layer_norm_epsilon": 1e-06, | |
| "model_type": "t5", | |
| "num_decoder_layers": 5, | |
| "num_heads": 4, | |
| "num_layers": 5, | |
| "pad_token_id": 0, | |
| "relative_attention_num_buckets": 8, | |
| "transformers_version": "4.11.0.dev0", | |
| "use_cache": true, | |
| "vocab_size": 1103 | |
| } | |