Instructions to use bigscience/bloom-intermediate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigscience/bloom-intermediate with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bigscience/bloom-intermediate", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "apply_residual_connection_post_layernorm": false, | |
| "attention_dropout": 0.0, | |
| "attention_softmax_in_fp32": true, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "hidden_dropout": 0.0, | |
| "initializer_range": 0.02, | |
| "layer_norm_epsilon": 1e-05, | |
| "masked_softmax_fusion": true, | |
| "model_type": "bloom", | |
| "n_embed": 14336, | |
| "n_layer": 70, | |
| "num_attention_heads": 112, | |
| "pretraining_tp": 4, | |
| "slow_but_exact": false, | |
| "transformers_version": "4.21.0.dev0", | |
| "use_cache": true, | |
| "vocab_size": 250880 | |
| } | |