Instructions to use Birma/zarma_model_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Birma/zarma_model_v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Birma/zarma_model_v1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use Birma/zarma_model_v1 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 Birma/zarma_model_v1 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 Birma/zarma_model_v1 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Birma/zarma_model_v1 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Birma/zarma_model_v1", max_seq_length=2048, )
- Xet hash:
- 2e60d60fa70b8717f9d02acb8f3ab9c446d55af08f8daa7a7b3ecf380acd3764
- Size of remote file:
- 389 MB
- SHA256:
- 10a42397a0ba527c1e1734ae2c633fe7f7b0423e51a4ce49803c297cebc9c3e9
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