Text Classification
Transformers
Safetensors
Vietnamese
roberta
esg
greenwashing
phobert
vietnamese
commitment-detection
Instructions to use dqa2412/esg-washing-optimized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dqa2412/esg-washing-optimized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dqa2412/esg-washing-optimized")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dqa2412/esg-washing-optimized") model = AutoModelForSequenceClassification.from_pretrained("dqa2412/esg-washing-optimized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ceda831cd283a98a791292c791951d873e0c570e5f02be348562ec46f32f584
- Size of remote file:
- 109 kB
- SHA256:
- 84413016822463e33d9ca5ad691b3ca8f24a78fabddcf891f0b3033cb3347b57
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