Text Classification
Transformers
Safetensors
English
Vietnamese
new
esg
scoring
classification
sustainability
custom_code
text-embeddings-inference
Instructions to use chungpt2123/esg-scoring with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chungpt2123/esg-scoring with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chungpt2123/esg-scoring", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("chungpt2123/esg-scoring", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d6436ea842a936307bac0de97299b1416d00dcee2394eea4408b43eb41bdf0d
- Size of remote file:
- 1.22 GB
- SHA256:
- c1dcbad794e190e136e4042fa59d4c22d53a2cea6fe3a4275ce259f52a8d894e
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