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 tokenizer.json from arvindcodex11/MYRA-oss-1: direct link, hf CLI and curl.
- Browser
- Download file 24.4 MB
-
https://huggingface.co/arvindcodex11/MYRA-oss-1/resolve/main/tokenizer.json
- Command line
-
hf download hf://arvindcodex11/MYRA-oss-1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/arvindcodex11/MYRA-oss-1/resolve/main/tokenizer.json
24.4 MB
- Xet hash:
- 1b3cb9e087925f6550576f19a75fe2632e5a6c53c8e7b2abd14d62de7590978c
- Size of remote file:
- 24.4 MB
- SHA256:
- 8d89ac93786d08d5535ae2305e65daf145a7af745748558f0556a1ea1d210d16
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