Instructions to use arcos02/PIXTRALlora-pmcvqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arcos02/PIXTRALlora-pmcvqa with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arcos02/PIXTRALlora-pmcvqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use arcos02/PIXTRALlora-pmcvqa 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 arcos02/PIXTRALlora-pmcvqa 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 arcos02/PIXTRALlora-pmcvqa to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for arcos02/PIXTRALlora-pmcvqa to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="arcos02/PIXTRALlora-pmcvqa", max_seq_length=2048, )
- Xet hash:
- f9060b98d63313929e41d1c9761527ef3848743ad6833a0d50f203d883dc6dc3
- Size of remote file:
- 17.1 MB
- SHA256:
- 84f33e6f52b2833e8cc17229af8eea363f640a898f19a48184a2c7f6f5a88337
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