Instructions to use roshanrb001/16_bit_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roshanrb001/16_bit_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="roshanrb001/16_bit_model")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("roshanrb001/16_bit_model") model = AutoModel.from_pretrained("roshanrb001/16_bit_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded finetuned model
- Developed by: roshanrb001
- License: apache-2.0
- Finetuned from model : unsloth/qwen2.5-vl-7b-instruct-bnb-4bit
This qwen2_5_vl model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Hardware compatibility
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