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README.md
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---
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library_name: zeroshot_classifier
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tags:
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- transformers
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- sentence-transformers
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- zeroshot_classifier
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license: mit
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datasets:
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- claritylab/UTCD
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language:
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- en
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pipeline_tag: text-generation
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metrics:
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- accuracy
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---
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# Zero-shot Vanilla GPT2
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This is a modified GPT2 model.
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It was introduced in the Findings of ACL'23 Paper **Label Agnostic Pre-training for Zero-shot Text Classification** by ***Christopher Clarke, Yuzhao Heng, Yiping Kang, Krisztian Flautner, Lingjia Tang and Jason Mars***.
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The code for training and evaluating this model can be found [here](https://github.com/ChrisIsKing/zero-shot-text-classification/tree/master).
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## Model description
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This model is intended for zero-shot text classification.
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It was trained via the generative classification framework,
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as a baseline with the aspect-normalized [UTCD](https://huggingface.co/datasets/claritylab/UTCD) dataset.
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- **Finetuned from model:** [`gpt2-medium`](https://huggingface.co/gpt2-medium)
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## Usage
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You can use the model like this:
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```python
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>>> import torch
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>>> from zeroshot_classifier.models import ZsGPT2Tokenizer, ZsGPT2LMHeadModel
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>>> training_strategy = 'vanilla'
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>>> model_name = f'claritylab/zero-shot-{training_strategy}-gpt2'
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>>> model = ZsGPT2LMHeadModel.from_pretrained(model_name)
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>>> tokenizer = ZsGPT2Tokenizer.from_pretrained(model_name, form=training_strategy)
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>>> text = "I'd like to have this track onto my Classical Relaxations playlist."
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>>> labels = [
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>>> 'Add To Playlist', 'Book Restaurant', 'Get Weather', 'Play Music', 'Rate Book', 'Search Creative Work',
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>>> 'Search Screening Event'
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>>> ]
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>>> inputs = tokenizer(dict(text=text, label_options=labels), mode='inference-sample')
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>>> inputs = {k: torch.tensor(v).unsqueeze(0) for k, v in inputs.items()}
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>>> outputs = model.generate(**inputs, max_length=128)
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>>> decoded = tokenizer.batch_decode(outputs, skip_special_tokens=False)[0]
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>>> print(decoded)
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<|question|>How is the text best described? : " Rate Book ", " Search Screening Event ", " Add To Playlist ", " Search Creative Work ", " Get Weather ", " Play Music ", " Book Restaurant "<|endoftext|><|text|>I'd like to have this track onto my Classical Relaxations playlist.<|endoftext|><|answer|>Play Media<|endoftext|>
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```
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