Instructions to use hf-internal-testing/tiny-muse-glimmer-assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-muse-glimmer-assistant with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-muse-glimmer-assistant")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-muse-glimmer-assistant") model = AutoModel.from_pretrained("hf-internal-testing/tiny-muse-glimmer-assistant", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "MuseGlimmerAssistantModel" | |
| ], | |
| "attention_dropout": 0, | |
| "block_size": 4, | |
| "bos_token_id": 2, | |
| "dtype": "float32", | |
| "eos_token_id": 3, | |
| "head_dim": 8, | |
| "hidden_act": "silu", | |
| "hidden_size": 32, | |
| "intermediate_size": 37, | |
| "layer_types": [ | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention" | |
| ], | |
| "mask_token_id": 1, | |
| "max_position_embeddings": 131072, | |
| "model_type": "muse_glimmer_assistant", | |
| "num_attention_heads": 4, | |
| "num_hidden_layers": 3, | |
| "num_key_value_heads": 2, | |
| "pad_token_id": 4, | |
| "rms_norm_eps": 1e-05, | |
| "rope_parameters": { | |
| "rope_theta": 500000.0, | |
| "rope_type": "default" | |
| }, | |
| "sliding_window": 2048, | |
| "target_layer_ids": [ | |
| 0, | |
| 2 | |
| ], | |
| "transformers_version": "5.16.0.dev0" | |
| } | |