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README.md
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tags:
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- solidity
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- code
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---
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Key Features:
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Solidity Code Generation: The model can generate Solidity code snippets, offering quick and accurate solutions for various development needs.
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Query Resolution: It answers technical and conceptual questions about Solidity, covering basic concepts to advanced topics, facilitating learning and problem-solving.
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This model is based on ajibawa-2023/Code-Llama-3-8B, known for its advanced code generation capabilities and deep understanding of programming languages.
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How to Use:
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You can integrate this model into your projects via the Hugging Face platform, utilizing the provided APIs and tools to facilitate its implementation and use in various applications.
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Example Usage:
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python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "your-username/iq-code-evmind-v1-code-llama3-8b-instruct-pro"
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inputs = tokenizer(input_text, return_tensors="pt")
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outputs = model.generate(**inputs)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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With iq-code-evmind-v1-code-llama3-8b-instruct-pro, you will have a powerful and specialized tool to handle everything related to Solidity development, from code generation to technical query resolution.
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tags:
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- solidity
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- code
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- ajibawa-2023/Code-Llama-3-8B
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---
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This model is a finely-tuned version specifically designed to generate and resolve queries related to the Solidity programming language. This model has been developed from the robust foundation provided by `ajibawa-2023/Code-Llama-3-8B` and has undergone specialized fine-tuning to optimize its performance in tasks associated with Solidity, the primary language used for developing smart contracts on the Ethereum blockchain.
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## Key Features:
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Solidity Code Generation: The model can generate Solidity code snippets, offering quick and accurate solutions for various development needs.
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Query Resolution: It answers technical and conceptual questions about Solidity, covering basic concepts to advanced topics, facilitating learning and problem-solving.
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This model is based on ajibawa-2023/Code-Llama-3-8B, known for its advanced code generation capabilities and deep understanding of programming languages.
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## How to Use:
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You can integrate this model into your projects via the Hugging Face platform, utilizing the provided APIs and tools to facilitate its implementation and use in various applications.
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Example Usage:
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "your-username/iq-code-evmind-v1-code-llama3-8b-instruct-pro"
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inputs = tokenizer(input_text, return_tensors="pt")
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outputs = model.generate(**inputs)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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With iq-code-evmind-v1-code-llama3-8b-instruct-pro, you will have a powerful and specialized tool to handle everything related to Solidity development, from code generation to technical query resolution.
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