Text-to-Speech
Transformers
Safetensors
rumik_oss
text-generation
tts
indic
expressive
mimi
speech
custom_code
Instructions to use rumik-ai/rumik-oss-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rumik-ai/rumik-oss-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="rumik-ai/rumik-oss-1", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("rumik-ai/rumik-oss-1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
config: map AutoModelForTextToWaveform so pipeline() resolves
#3
by nullHawk - opened
- config.json +2 -1
config.json
CHANGED
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@@ -9,7 +9,8 @@
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"audio_start_token_id": 277393,
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"auto_map": {
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"AutoConfig": "configuration_rumik_oss.RumikOSSConfig",
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"AutoModelForCausalLM": "modeling_rumik_oss.RumikOSSForCausalLM"
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},
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"bos_token_id": 2,
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"codebook_size": 2048,
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"audio_start_token_id": 277393,
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"auto_map": {
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"AutoConfig": "configuration_rumik_oss.RumikOSSConfig",
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"AutoModelForCausalLM": "modeling_rumik_oss.RumikOSSForCausalLM",
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"AutoModelForTextToWaveform": "modeling_rumik_oss.RumikOSSForCausalLM"
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},
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"bos_token_id": 2,
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"codebook_size": 2048,
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