Instructions to use d4data/environmental-due-diligence-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use d4data/environmental-due-diligence-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="d4data/environmental-due-diligence-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("d4data/environmental-due-diligence-model") model = AutoModelForSequenceClassification.from_pretrained("d4data/environmental-due-diligence-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Author
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This model is part of the Research topic "Environmental Due Diligence" conducted by Deepak John Reji, Afreen Aman, Shaina Raza. If you use this work (code, model or dataset), please cite as:
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> Environmental Due Diligence, (2020), GitHub repository
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## Author
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This model is part of the Research topic "Environmental Due Diligence" conducted by Deepak John Reji, Afreen Aman, Shaina Raza. If you use this work (code, model or dataset), please cite as:
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> Environmental Due Diligence, (2020), GitHub repository https://github.com/dreji18/environmental-due-diligence
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