Fill-Mask
Transformers
Safetensors
English
Vietnamese
deberta-v2
finance
esg
text-classification
bert
Instructions to use nguyen599/MaskESG-DeBERTa-v3-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nguyen599/MaskESG-DeBERTa-v3-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nguyen599/MaskESG-DeBERTa-v3-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nguyen599/MaskESG-DeBERTa-v3-small") model = AutoModelForMaskedLM.from_pretrained("nguyen599/MaskESG-DeBERTa-v3-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- text: "Over three chapters, it covers a range of topics from energy efficiency and renewable energy to the circular economy and sustainable transportation."
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ESG analysis can help investors determine a business' long-term sustainability and identify associated risks. MaskESG-DeBERTa-v3-small is a [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) model fine-tuned on [
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**Input**: A financial text.
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ESG analysis can help investors determine a business' long-term sustainability and identify associated risks. MaskESG-DeBERTa-v3-small is a [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) model fine-tuned on [EnVi-ESG-200](https://huggingface.co/nguyen599/EnVi-ESG-200) dataset, include 200,000 annotated sentences from Vietnam, English news and ESG reports.
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**Input**: A financial text.
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