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:
# pip install -U transformers accelerate # 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
Download training_args.bin from PaDT-MLLM/PaDT_REC_7B: direct link, hf CLI and curl.
- Browser
- Download file 8.82 kB
-
https://huggingface.co/PaDT-MLLM/PaDT_REC_7B/resolve/main/training_args.bin
- Command line
-
hf download hf://PaDT-MLLM/PaDT_REC_7B/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PaDT-MLLM/PaDT_REC_7B/resolve/main/training_args.bin
8.82 kB
- Xet hash:
- 3d93bfc47196496e698251802f8a020732073e10c82d2833e11336442019aaa2
- Size of remote file:
- 8.82 kB
- SHA256:
- fdf5b171b5764f8d2d1ea5cefd385b372d2125e6b3b52ba58cf33c6ee2ab35b9
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