Instructions to use re-skill/orpheus-tj-early with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use re-skill/orpheus-tj-early with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="re-skill/orpheus-tj-early")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("re-skill/orpheus-tj-early") model = AutoModelForCausalLM.from_pretrained("re-skill/orpheus-tj-early", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from re-skill/orpheus-tj-early: direct link, hf CLI and curl.
- Browser
- Download file 838 Bytes
-
https://huggingface.co/re-skill/orpheus-tj-early/resolve/main/config.json
- Command line
-
hf download hf://re-skill/orpheus-tj-early/config.json
-
curl -L -o config.json https://huggingface.co/re-skill/orpheus-tj-early/resolve/main/config.json
838 Bytes
| { | |
| "architectures": [ | |
| "LlamaForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 128000, | |
| "eos_token_id": 128001, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 3072, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 8192, | |
| "max_position_embeddings": 131072, | |
| "mlp_bias": false, | |
| "model_type": "llama", | |
| "num_attention_heads": 24, | |
| "num_hidden_layers": 28, | |
| "num_key_value_heads": 8, | |
| "pretraining_tp": 1, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": { | |
| "factor": 32.0, | |
| "high_freq_factor": 4.0, | |
| "low_freq_factor": 1.0, | |
| "original_max_position_embeddings": 8192, | |
| "rope_type": "llama3" | |
| }, | |
| "rope_theta": 500000.0, | |
| "tie_word_embeddings": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.52.4", | |
| "use_cache": true, | |
| "vocab_size": 156939 | |
| } | |