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.json from chibubu/bingo: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/chibubu/bingo/resolve/main/tokenizer.json
- Command line
-
hf download hf://chibubu/bingo/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/chibubu/bingo/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 0de7bbb6e7a900e82bb6ddff053323b3ca187a29727122328d0efae598245e15
- Size of remote file:
- 11.4 MB
- SHA256:
- 491635783283196cfd9ab5d019617234a246b35a58da4761afd6ad77380f43c8
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