Instructions to use MLInAi/Llama-3.2-11B-Vision-VL-finetuned-IndustrialEquipment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MLInAi/Llama-3.2-11B-Vision-VL-finetuned-IndustrialEquipment with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MLInAi/Llama-3.2-11B-Vision-VL-finetuned-IndustrialEquipment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from MLInAi/Llama-3.2-11B-Vision-VL-finetuned-IndustrialEquipment: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/MLInAi/Llama-3.2-11B-Vision-VL-finetuned-IndustrialEquipment/resolve/main/tokenizer.json
- Command line
-
hf download hf://MLInAi/Llama-3.2-11B-Vision-VL-finetuned-IndustrialEquipment/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MLInAi/Llama-3.2-11B-Vision-VL-finetuned-IndustrialEquipment/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 8829b5b8a766e2bd2b7b7607c5e92a9c6687869ff4881fcd4e3188895f1e2f4a
- Size of remote file:
- 17.2 MB
- SHA256:
- d34b8b90d18ab7ffd5282840a84d5d4df705e2c8e6f74c906ee0a1ea5b6bd9dd
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