Instructions to use KM4STfulltext/SSCI-BERT-e2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KM4STfulltext/SSCI-BERT-e2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KM4STfulltext/SSCI-BERT-e2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KM4STfulltext/SSCI-BERT-e2") model = AutoModelForMaskedLM.from_pretrained("KM4STfulltext/SSCI-BERT-e2") - Notebooks
- Google Colab
- Kaggle
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README.md
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# SSCI-BERT: A pretrained language model for social scientific text
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## Introduction
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# SSCI-BERT: A pretrained language model for social scientific text
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<img src="logo.png" alt="logo" style="zoom: 67%;" />
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## Introduction
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