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--- |
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license: cc0-1.0 |
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library_name: transformers |
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pipeline_tag: text-generation |
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tags: |
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- text-generation |
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- causal-lm |
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- mistral |
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- fine-tuned |
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language: en |
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base_model: mistralai/Mistral-7B-v0.1 |
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--- |
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# Mistral-7B Fine-Tuned on Nouns DAO Comments |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on a custom dataset of Nouns DAO comments. |
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## Model Description |
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The model has been fine-tuned to generate comments by Nouns DAO members on proposals, focusing on community discussions and insights. |
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## Intended Use |
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- **Primary Use Case:** Generating realistic DAO member comments for proposals. |
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- **Languages Supported:** English (en). |
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## How to Use |
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You can use this model with the Transformers library: |
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```python |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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model_name = "your_username/your_model_name" |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = AutoModelForCausalLM.from_pretrained(model_name).to("cuda" or "cpu") |
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prompt = "The following is a comment by a Nouns DAO member on the proposal to gift 1000 glasses to kids in need:" |
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inputs = tokenizer(prompt, return_tensors="pt") |
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outputs = model.generate(**inputs, max_new_tokens=100, repetition_penalty=1.15, temperature=0.7, top_p=0.9) |
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generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True) |
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print(generated_text) |
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