Instructions to use Tonic/GaiaMiniMed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Tonic/GaiaMiniMed with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b-instruct") model = PeftModel.from_pretrained(base_model, "Tonic/GaiaMiniMed") - Notebooks
- Google Colab
- Kaggle
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README.md
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wrapped_text = '\n'.join(wrapped_lines)
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return wrapped_text
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def multimodal_prompt(user_input, system_prompt
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formatted_input = f"{{{{ {system_prompt} }}}}\nUser: {user_input}\nFalcon:"
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encodeds = tokenizer(formatted_input, return_tensors="pt", add_special_tokens=False)
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model_inputs = encodeds.to(device)
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wrapped_text = '\n'.join(wrapped_lines)
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return wrapped_text
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def multimodal_prompt(user_input, system_prompt):
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formatted_input = f"{{{{ {system_prompt} }}}}\nUser: {user_input}\nFalcon:"
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encodeds = tokenizer(formatted_input, return_tensors="pt", add_special_tokens=False)
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model_inputs = encodeds.to(device)
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