Instructions to use manumishra/gemma-3-updated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manumishra/gemma-3-updated with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("manumishra/gemma-3-updated", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use manumishra/gemma-3-updated with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for manumishra/gemma-3-updated to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for manumishra/gemma-3-updated to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for manumishra/gemma-3-updated to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="manumishra/gemma-3-updated", max_seq_length=2048, )
Ctrl+K
- Plots
- checkpoint-100
- checkpoint-1000
- checkpoint-1100
- checkpoint-1200
- checkpoint-1300
- checkpoint-1400
- checkpoint-1500
- checkpoint-1600
- checkpoint-1700
- checkpoint-1800
- checkpoint-1900
- checkpoint-200
- checkpoint-2000
- checkpoint-2100
- checkpoint-300
- checkpoint-400
- checkpoint-500
- checkpoint-600
- checkpoint-700
- checkpoint-800
- checkpoint-900
- dataset
- 1.57 kB
- 601 Bytes
- 968 Bytes
- 59.7 MB xet
- 35 Bytes
- 1.62 kB
- 570 Bytes
- 70 Bytes
- 670 Bytes
- 33.4 MB xet
- 4.69 MB xet
- 1.16 MB