Any-to-Any
Transformers
Safetensors
English
Chinese
qwen2_5_vl
text-generation
text-generation-inference
Instructions to use PaDT-MLLM/PaDT_REC_7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PaDT-MLLM/PaDT_REC_7B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("PaDT-MLLM/PaDT_REC_7B") model = AutoModelForSeq2SeqLM.from_pretrained("PaDT-MLLM/PaDT_REC_7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d93bfc47196496e698251802f8a020732073e10c82d2833e11336442019aaa2
- Size of remote file:
- 8.82 kB
- SHA256:
- fdf5b171b5764f8d2d1ea5cefd385b372d2125e6b3b52ba58cf33c6ee2ab35b9
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