Instructions to use feradauto/scibert_nlp4sg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use feradauto/scibert_nlp4sg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="feradauto/scibert_nlp4sg")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("feradauto/scibert_nlp4sg") model = AutoModelForSequenceClassification.from_pretrained("feradauto/scibert_nlp4sg") - Notebooks
- Google Colab
- Kaggle
update model card
Browse files
README.md
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Please cite the following paper:
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```
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```
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Please cite the following paper:
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```
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@misc{gonzalez2023good,
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title={Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good},
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author={Fernando Gonzalez and Zhijing Jin and Jad Beydoun and Bernhard Schölkopf and Tom Hope and Mrinmaya Sachan and Rada Mihalcea},
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year={2023},
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eprint={2305.05471},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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