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 NOTICE from arvindcodex11/MYRA-oss-1: direct link, hf CLI and curl.
- Browser
- Download file 2.21 kB
-
https://huggingface.co/arvindcodex11/MYRA-oss-1/resolve/main/NOTICE
- Command line
-
hf download hf://arvindcodex11/MYRA-oss-1/NOTICE
-
curl -L -o NOTICE https://huggingface.co/arvindcodex11/MYRA-oss-1/resolve/main/NOTICE
2.21 kB
| rumik-oss 1 | |
| Copyright 2026 Rumik AI | |
| This model is a derivative work. CC-BY-NC 4.0 requires that redistribution | |
| indicate what was changed relative to the upstream material; this file records | |
| those changes. | |
| ----------------------------------------------------------------------- | |
| Lineage: | |
| CohereLabs/tiny-aya-fire vocab 261,008 | |
| https://huggingface.co/CohereLabs/tiny-aya-fire | |
| Licensed CC-BY-NC 4.0 with the Cohere Labs acceptable-use addendum. | |
| -> rumik-ai/rumik-oss-1-base vocab 277,395 | |
| https://huggingface.co/rumik-ai/rumik-oss-1-base | |
| Named-speaker text-to-speech training. | |
| -> rumik-ai/rumik-oss-1 vocab 277,404 (this model) | |
| Delivery-control fine-tuning and reinforcement learning. | |
| ----------------------------------------------------------------------- | |
| Modifications made by Rumik AI, relative to tiny aya fire: | |
| 1. Vocabulary extended from 261,008 to 277,404 tokens: | |
| - 16,384 Mimi codec unit tokens <code>_<quantizer>, ids 261008-277391 | |
| - 3 structure delimiters <text>, <audio>, </audio>, ids 277392-277394 | |
| - 9 delivery and vocalization tags, ids 277395-277403 | |
| The first two groups were added for rumik-oss 1 base; the tags were | |
| added for rumik-oss 1. Input and output embedding matrices were | |
| resized accordingly. | |
| 2. A stop-prediction head (`stop_predictor`) was added on top of the final | |
| hidden state to terminate audio generation. | |
| 3. The model was post-trained for text-to-speech on multilingual Indic and | |
| English speech data, followed by a reinforcement-learning stage. | |
| 4. Model class and configuration were reimplemented as RumikOSSForCausalLM / | |
| RumikOSSConfig (model_type "rumik_oss"), subclassing the transformers | |
| Cohere2 implementation. | |
| 5. The inherited chat template was removed. This is not a chat model and | |
| does not take a `messages` list; it uses the flat prompt layout | |
| documented in README.md. | |
| ----------------------------------------------------------------------- | |
| Also bundled: | |
| Mimi codec (codec/) - Kyutai | |
| https://huggingface.co/kyutai/mimi | |
| Licensed CC-BY-4.0. Redistributed unmodified. | |
| ----------------------------------------------------------------------- | |