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:
- 5519ff865971e26c31a0e39fbef2c14ea9d4aa3946c2014e8e26600e04f89e6c
- Size of remote file:
- 5.84 kB
- SHA256:
- 1b7edac8af518af1ad0ebb81743a4ea65ea56d75e1f5af898ccc6c3887cd723e
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