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:
- c08ef960b076dced40b3c1338e47c34664bb5ed04a0d74f39eb75f901516e385
- Size of remote file:
- 17.1 MB
- SHA256:
- a10f7c4d9b12afecaab6c81c27ad949ad29bf084fcb255bb796cafddccfc0ba6
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