Instructions to use hf-internal-testing/tiny-random-MusicgenModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MusicgenModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MusicgenModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MusicgenModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 637 Bytes
ffb2921 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | {
"activation_dropout": 0.0,
"activation_function": "gelu",
"architectures": [
"MusicgenModel"
],
"attention_dropout": 0.0,
"bos_token_id": 99,
"decoder_start_token_id": 99,
"dropout": 0.1,
"ffn_dim": 4,
"hidden_size": 16,
"initializer_factor": 0.02,
"layerdrop": 0.0,
"max_position_embeddings": 2048,
"model_type": "musicgen_decoder",
"num_attention_heads": 4,
"num_codebooks": 4,
"num_hidden_layers": 2,
"pad_token_id": 99,
"scale_embedding": false,
"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.35.0.dev0",
"use_cache": true,
"vocab_size": 99
}
|