Instructions to use MMADS/RoBERTa-OrgCulture-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MMADS/RoBERTa-OrgCulture-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="MMADS/RoBERTa-OrgCulture-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("MMADS/RoBERTa-OrgCulture-Classifier") model = AutoModelForMaskedLM.from_pretrained("MMADS/RoBERTa-OrgCulture-Classifier") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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# Model Card for RoBERTa-OrgCulture-Classifier
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Fischer et al. (2014) showed that organizational practices are best measured in three dimensions: employee orientation, formalization practices, and innovation practices.
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license: gpl-3.0
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language:
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- en
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---
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# Model Card for RoBERTa-OrgCulture-Classifier
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Fischer et al. (2014) showed that organizational practices are best measured in three dimensions: employee orientation, formalization practices, and innovation practices.
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