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--- |
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language: |
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- en |
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license: mit |
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datasets: |
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- PatrickHaller/wiki-and-book-corpus-500M |
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--- |
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# An xLSTM Model |
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Trained with [Helibrunna](https://github.com/PatrickHaller/helibrunna) (fork) |
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To use this model the [xLSTM](https://github.com/NX-AI/xlstm) package is required. We recommend to install |
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it locally with conda: |
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```bash |
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git clone https://github.com/NX-AI/xlstm |
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cd xlstm |
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conda env create -n xlstm -f environment_pt220cu121.yaml |
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conda activate xlstm |
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``` |
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## Usage |
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```python |
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from transformers import AutoModelForCasualLM, AutoTokenizer |
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model_name_or_path = "PatrickHaller/xlstm_wikipedia_110M_500M" |
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model = AutoModelForCasualLM.from_pretrained(model_name_or_path) |
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tokenizer = AutoTokenizer.from_pretrained(model_name_or_path) |
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input_ids = tokenizer.encode("Hello, my dog is cute", return_tensors="pt") |
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output = model.generate(input_ids, max_length=100, temperature=0.7, do_sample=True) |
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generated_text = tokenizer.decode(output[0], skip_special_tokens=True) |
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print(generated_text) |
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``` |
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## Evaluation |
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We evaluated all xLSTM wikipedia models on common zero-shot LM benchmarks: |
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