How to use BinaryLight1011/Context with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BinaryLight1011/Context", device_map="auto")
How to use BinaryLight1011/Context with Unsloth Studio:
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 BinaryLight1011/Context to start chatting
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 BinaryLight1011/Context to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for BinaryLight1011/Context to start chatting
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="BinaryLight1011/Context", max_seq_length=2048, )
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--- inference: true language: - pt license: apache-2.0 base_model: unsloth/Llama-3.2-3B-Instruct tags: - text-generation-inference - transformers - unsloth - llama - trl --- # llama3-qa-portugues Modelo fine-tunado para QA em português. Desenvolvido por Jeffvelox.
