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--- |
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license: apache-2.0 |
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datasets: |
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- HuggingFaceTB/everyday-conversations-llama3.1-2k |
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base_model: mattshumer/Reflection-Llama-3.1-70B |
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library_name: adapter-transformers |
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--- |
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# My AI Model |
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## Model Description |
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This model is designed for [task description] using [dataset name]. It has been fine-tuned to achieve [performance metrics]. |
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## Usage |
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You can use the model with the following code: |
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```python |
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from transformers import AutoModelForSequenceClassification, AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained("username/model_name") |
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model = AutoModelForSequenceClassification.from_pretrained("username/model_name") |
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inputs = tokenizer("Hello, Hugging Face!", return_tensors="pt") |
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outputs = model(**inputs) |
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print(outputs) |
