Instructions to use albertan017/hashencoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use albertan017/hashencoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="albertan017/hashencoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("albertan017/hashencoder") model = AutoModel.from_pretrained("albertan017/hashencoder") - Notebooks
- Google Colab
- Kaggle
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<!-- Provide a quick summary of what the model is/does. -->
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#Encoder from HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understanding.
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The model can effectively
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## Model Details
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#Encoder from HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understanding.
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The model can effectively encode a tweet into topic-level embeddings. It can be used to estimate **topic-level similarity** between tweets.
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## Model Details
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