Instructions to use tfshaman/SymPy-Mistral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tfshaman/SymPy-Mistral with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-math/MetaMath-Mistral-7B") model = PeftModel.from_pretrained(base_model, "tfshaman/SymPy-Mistral") - Notebooks
- Google Colab
- Kaggle
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- **Language(s) (NLP):** English, Python with SymPy
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- **License:** Apache-2.0
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- **Finetuned from model [optional]:** meta-math/MetaMath-Mistral-7B
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### Model Sources [optional]
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- **Language(s) (NLP):** English, Python with SymPy
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- **License:** Apache-2.0
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- **Finetuned from model [optional]:** meta-math/MetaMath-Mistral-7B
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- **Trained on:** Research Center for Informatics | CTU Prague, RCI cluster
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### Model Sources [optional]
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