Text-to-Speech
Transformers
Safetensors
English
llama
text-generation
voice:Jim
Male
Mono-Audio
text-generation-inference
Instructions to use prithivMLmods/Llama-3B-Mono-Jim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Llama-3B-Mono-Jim with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="prithivMLmods/Llama-3B-Mono-Jim")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("prithivMLmods/Llama-3B-Mono-Jim") model = AutoModelForCausalLM.from_pretrained("prithivMLmods/Llama-3B-Mono-Jim") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 128000, | |
| "do_sample": true, | |
| "eos_token_id": 128009, | |
| "max_length": 131072, | |
| "pad_token_id": 128004, | |
| "temperature": 0.6, | |
| "top_p": 0.9, | |
| "transformers_version": "4.50.0" | |
| } | |