Instructions to use Dr-Mo-Tharwat/checkpoint-2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dr-Mo-Tharwat/checkpoint-2000 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Dr-Mo-Tharwat/checkpoint-2000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: Dr-Mo-Tharwat
- License: apache-2.0
- Finetuned from model : Dr-Mo-Tharwat/gemma3-4b-it-st-10000
This gemma3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for Dr-Mo-Tharwat/checkpoint-2000
Base model
google/gemma-3-4b-pt Finetuned
google/gemma-3-4b-it Quantized
unsloth/gemma-3-4b-it-unsloth-bnb-4bit Finetuned
Dr-Mo-Tharwat/gemma3-4b-it-st-10000