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
blaster-think
cc-by-nc-sa-4.0
custom_code
Instructions to use 0x8badbeef/molmo-audio-serving-blaster-think with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 0x8badbeef/molmo-audio-serving-blaster-think with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("0x8badbeef/molmo-audio-serving-blaster-think", trust_remote_code=True, device_map="auto") - PEFT
How to use 0x8badbeef/molmo-audio-serving-blaster-think with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download token_manifest.json from 0x8badbeef/molmo-audio-serving-blaster-think: direct link, hf CLI and curl.
- Browser
- Download file 235 Bytes
-
https://huggingface.co/0x8badbeef/molmo-audio-serving-blaster-think/resolve/main/token_manifest.json
- Command line
-
hf download hf://0x8badbeef/molmo-audio-serving-blaster-think/token_manifest.json
-
curl -L -o token_manifest.json https://huggingface.co/0x8badbeef/molmo-audio-serving-blaster-think/resolve/main/token_manifest.json
235 Bytes
| { | |
| "soa_token_id": 152069, | |
| "eoa_token_id": 152070, | |
| "codebook_offset": 152072, | |
| "codebook_size": 2048, | |
| "spk_token_ids": [ | |
| 154120, | |
| 154121, | |
| 154122, | |
| 154123 | |
| ], | |
| "eos_token_id": 151643, | |
| "max_audio_codes": 1000 | |
| } | |