Video-Text-to-Text
Transformers
Safetensors
English
audiovisualflamingo
text-generation
audio
video
image
audio-visual
multimodal
reasoning
video understanding
long-video
audio understanding
ASR
timestamp-grounding
instruction-tuned
dynamic-s2
CRTE
TAVIT
Instructions to use chibubu/bingo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chibubu/bingo with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("chibubu/bingo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from chibubu/bingo: direct link, hf CLI and curl.
- Browser
- Download file 543 Bytes
-
https://huggingface.co/chibubu/bingo/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://chibubu/bingo/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/chibubu/bingo/resolve/main/tokenizer_config.json
543 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "[BOS]", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|im_end|>", | |
| "errors": "replace", | |
| "extra_special_tokens": [ | |
| "<|sound_bos|>", | |
| "<|sound_eos|>" | |
| ], | |
| "is_local": true, | |
| "legacy": false, | |
| "local_files_only": false, | |
| "model_max_length": 20000, | |
| "pad_token": "[PAD]", | |
| "padding_side": "left", | |
| "processor_class": "AudioVisualFlamingoProcessor", | |
| "split_special_tokens": false, | |
| "tokenizer_class": "Qwen2Tokenizer", | |
| "unk_token": null | |
| } | |