Text-to-Speech
Transformers
Safetensors
rumik_oss
text-generation
tts
indic
expressive
mimi
speech
custom_code
Instructions to use arvindcodex11/MYRA-oss-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arvindcodex11/MYRA-oss-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="arvindcodex11/MYRA-oss-1", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("arvindcodex11/MYRA-oss-1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from arvindcodex11/MYRA-oss-1: direct link, hf CLI and curl.
- Browser
- Download file 132 Bytes
-
https://huggingface.co/arvindcodex11/MYRA-oss-1/resolve/main/generation_config.json
- Command line
-
hf download hf://arvindcodex11/MYRA-oss-1/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/arvindcodex11/MYRA-oss-1/resolve/main/generation_config.json
132 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 2, | |
| "eos_token_id": 3, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.57.6" | |
| } | |