Audio-Text-to-Text
Transformers
Safetensors
edgeinstant
feature-extraction
audio
text-to-speech
custom_code
Instructions to use chenjz24/EdgeIn-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chenjz24/EdgeIn-v3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chenjz24/EdgeIn-v3", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from chenjz24/EdgeIn-v3: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/chenjz24/EdgeIn-v3/resolve/main/tokenizer.json
- Command line
-
hf download hf://chenjz24/EdgeIn-v3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/chenjz24/EdgeIn-v3/resolve/main/tokenizer.json
20 MB
- Xet hash:
- a534f7c9d12bb01a2bc21781b55369e077043baed4c8f646fdeff5ff02dfd4d6
- Size of remote file:
- 20 MB
- SHA256:
- 6f32ce20dc35f57a7f9ad1eac03525bd7d30f9df8cea6507e958279cc3657706
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