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