Instructions to use hsge/TESS_768_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsge/TESS_768_v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hsge/TESS_768_v1") model = AutoModel.from_pretrained("hsge/TESS_768_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: mit
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<h1>Transformer Encoder for Social Science (TESS)</h1>
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license: mit
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<h1>Transformer Encoder for Social Science (TESS)</h1>
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TESS is a deep neural network model intended for social science related NLP tasks. The model is developed by Haosen Ge, In Young Park, Xuancheng Qian, and Grace Zeng.
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