Text-to-Speech
Transformers
Safetensors
parallel_s2s
text-generation
speech
spoken-language-model
audio
tts
asr
flexislm
Instructions to use FlexiSLM/FlexiSLM-0_5B-Stage2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FlexiSLM/FlexiSLM-0_5B-Stage2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="FlexiSLM/FlexiSLM-0_5B-Stage2")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("FlexiSLM/FlexiSLM-0_5B-Stage2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efce723233fdbfd544532fdb397a4f598af6aee962af19707d0103a888eeadd5
- Size of remote file:
- 11.5 MB
- SHA256:
- 014279dbccecb93abe99e74e80f85bd4e13324bbf2338c076643748b8b9777dd
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