Audio-Text-to-Text
Transformers
Safetensors
midashenglm_spatial
text-generation
spatial-audio-understanding
multimodal
audio-language-model
audio
dasheng
custom_code
Instructions to use mispeech/midashenglm-spatial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mispeech/midashenglm-spatial with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("mispeech/midashenglm-spatial", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mispeech/midashenglm-spatial: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/mispeech/midashenglm-spatial/resolve/main/tokenizer.json
- Command line
-
hf download hf://mispeech/midashenglm-spatial/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mispeech/midashenglm-spatial/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 11da1d986218948927a6f300bb45d26a0c815fab636d156ad75ca4d381d2770c
- Size of remote file:
- 11.4 MB
- SHA256:
- c40343a9d670f4fadbe6415ed2cff441055f663e51d813f2315c3368399914d5
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