Text-to-Speech
Transformers
Safetensors
rumik_oss
text-generation
fp8
quantized
compressed-tensors
llmcompressor
tts
indic
expressive
mimi
speech
custom_code
Instructions to use Henil1/rumik-oss-1-FP8-Dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Henil1/rumik-oss-1-FP8-Dynamic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Henil1/rumik-oss-1-FP8-Dynamic", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Henil1/rumik-oss-1-FP8-Dynamic", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Henil1/rumik-oss-1-FP8-Dynamic: direct link, hf CLI and curl.
- Browser
- Download file 24.4 MB
-
https://huggingface.co/Henil1/rumik-oss-1-FP8-Dynamic/resolve/main/tokenizer.json
- Command line
-
hf download hf://Henil1/rumik-oss-1-FP8-Dynamic/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Henil1/rumik-oss-1-FP8-Dynamic/resolve/main/tokenizer.json
24.4 MB
- Xet hash:
- 2f74a0344425a628ecaac6e67153ac2ab50b6da47667dc68baca61f0738d60ee
- Size of remote file:
- 24.4 MB
- SHA256:
- bdfe718a0b21425550447a1dd33646ffc0062da5204d89062523dde332a72373
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