Feature Extraction
Transformers
Safetensors
English
qwen2_5_omni_thinker
video-retrieval
multi-vector
late-interaction
colbert
index-compression
memory-tokens
text-to-video
audiovisual
Instructions to use hltcoe/MemTok_qwen2.5-omni_multivent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hltcoe/MemTok_qwen2.5-omni_multivent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hltcoe/MemTok_qwen2.5-omni_multivent")# Load model directly from transformers import AutoTokenizer, Qwen2_5OmniForEmbedding tokenizer = AutoTokenizer.from_pretrained("hltcoe/MemTok_qwen2.5-omni_multivent") model = Qwen2_5OmniForEmbedding.from_pretrained("hltcoe/MemTok_qwen2.5-omni_multivent") - Notebooks
- Google Colab
- Kaggle
| { | |
| "</tool_call>": 151658, | |
| "<tool_call>": 151657, | |
| "<|AUDIO|>": 151646, | |
| "<|IMAGE|>": 151655, | |
| "<|VIDEO|>": 151656, | |
| "<|audio_bos|>": 151647, | |
| "<|audio_eos|>": 151648, | |
| "<|box_end|>": 151649, | |
| "<|endoftext|>": 151643, | |
| "<|file_sep|>": 151664, | |
| "<|fim_middle|>": 151660, | |
| "<|fim_pad|>": 151662, | |
| "<|fim_prefix|>": 151659, | |
| "<|fim_suffix|>": 151661, | |
| "<|im_end|>": 151645, | |
| "<|im_start|>": 151644, | |
| "<|mem0|>": 151665, | |
| "<|mem10|>": 151675, | |
| "<|mem11|>": 151676, | |
| "<|mem12|>": 151677, | |
| "<|mem13|>": 151678, | |
| "<|mem14|>": 151679, | |
| "<|mem15|>": 151680, | |
| "<|mem16|>": 151681, | |
| "<|mem17|>": 151682, | |
| "<|mem18|>": 151683, | |
| "<|mem19|>": 151684, | |
| "<|mem1|>": 151666, | |
| "<|mem20|>": 151685, | |
| "<|mem21|>": 151686, | |
| "<|mem22|>": 151687, | |
| "<|mem23|>": 151688, | |
| "<|mem24|>": 151689, | |
| "<|mem25|>": 151690, | |
| "<|mem26|>": 151691, | |
| "<|mem27|>": 151692, | |
| "<|mem28|>": 151693, | |
| "<|mem29|>": 151694, | |
| "<|mem2|>": 151667, | |
| "<|mem30|>": 151695, | |
| "<|mem31|>": 151696, | |
| "<|mem32|>": 151697, | |
| "<|mem33|>": 151698, | |
| "<|mem34|>": 151699, | |
| "<|mem35|>": 151700, | |
| "<|mem36|>": 151701, | |
| "<|mem37|>": 151702, | |
| "<|mem38|>": 151703, | |
| "<|mem39|>": 151704, | |
| "<|mem3|>": 151668, | |
| "<|mem40|>": 151705, | |
| "<|mem41|>": 151706, | |
| "<|mem42|>": 151707, | |
| "<|mem43|>": 151708, | |
| "<|mem44|>": 151709, | |
| "<|mem45|>": 151710, | |
| "<|mem46|>": 151711, | |
| "<|mem47|>": 151712, | |
| "<|mem48|>": 151713, | |
| "<|mem49|>": 151714, | |
| "<|mem4|>": 151669, | |
| "<|mem50|>": 151715, | |
| "<|mem51|>": 151716, | |
| "<|mem52|>": 151717, | |
| "<|mem53|>": 151718, | |
| "<|mem54|>": 151719, | |
| "<|mem55|>": 151720, | |
| "<|mem56|>": 151721, | |
| "<|mem57|>": 151722, | |
| "<|mem58|>": 151723, | |
| "<|mem59|>": 151724, | |
| "<|mem5|>": 151670, | |
| "<|mem60|>": 151725, | |
| "<|mem61|>": 151726, | |
| "<|mem62|>": 151727, | |
| "<|mem63|>": 151728, | |
| "<|mem6|>": 151671, | |
| "<|mem7|>": 151672, | |
| "<|mem8|>": 151673, | |
| "<|mem9|>": 151674, | |
| "<|quad_end|>": 151651, | |
| "<|quad_start|>": 151650, | |
| "<|repo_name|>": 151663, | |
| "<|vision_bos|>": 151652, | |
| "<|vision_eos|>": 151653, | |
| "<|vision_pad|>": 151654 | |
| } | |