Any-to-Any
Transformers
Safetensors
PEFT
PyTorch
English
molmo
text-generation
molmo-audio
multimodal
audio-text-to-text
image-text-to-text
audio
speech
diarization
vllm
blaster
cc-by-nc-sa-4.0
custom_code
Instructions to use 0x8badbeef/molmo-audio-serving-diar-d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 0x8badbeef/molmo-audio-serving-diar-d with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("0x8badbeef/molmo-audio-serving-diar-d", trust_remote_code=True, device_map="auto") - PEFT
How to use 0x8badbeef/molmo-audio-serving-diar-d with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download model-00004-of-00005.safetensors from 0x8badbeef/molmo-audio-serving-diar-d: direct link, hf CLI and curl.
- Browser
- Download file 4 GB
-
https://huggingface.co/0x8badbeef/molmo-audio-serving-diar-d/resolve/main/model-00004-of-00005.safetensors
- Command line
-
hf download hf://0x8badbeef/molmo-audio-serving-diar-d/model-00004-of-00005.safetensors
-
curl -L -o model-00004-of-00005.safetensors https://huggingface.co/0x8badbeef/molmo-audio-serving-diar-d/resolve/main/model-00004-of-00005.safetensors
4 GB
- Xet hash:
- 6011c2deebf090abdcba014cf9dae7ba06b009055db87498ee5d1d7d87d30665
- Size of remote file:
- 4 GB
- SHA256:
- 0b3e42166e183aa0aa7b35889236587e189e6b5582ad44449bf73e4a905e3e54
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