Video-Text-to-Text
Transformers
Safetensors
MLX
English
qwen2_5_vl
image-text-to-text
video-grounding
temporal-grounding
video-understanding
qwen2-vl
mlx-my-repo
text-generation-inference
4-bit precision
Instructions to use JungleGym/TimeLens-7B-mlx-4Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JungleGym/TimeLens-7B-mlx-4Bit with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("JungleGym/TimeLens-7B-mlx-4Bit") model = AutoModelForMultimodalLM.from_pretrained("JungleGym/TimeLens-7B-mlx-4Bit", device_map="auto") - MLX
How to use JungleGym/TimeLens-7B-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download JungleGym/TimeLens-7B-mlx-4Bit --local-dir TimeLens-7B-mlx-4Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 244 Bytes
99ac04b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"bos_token_id": 151643,
"do_sample": true,
"eos_token_id": [
151645,
151643
],
"pad_token_id": 151643,
"repetition_penalty": 1.05,
"temperature": 0.1,
"top_k": 1,
"top_p": 0.001,
"transformers_version": "4.51.3"
}
|