Text Classification
Transformers
Safetensors
English
distilbert
ESG
Finance
sustainability
governance
social
environment
text-embeddings-inference
Instructions to use cea-list-ia/ESG-classification-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cea-list-ia/ESG-classification-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cea-list-ia/ESG-classification-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cea-list-ia/ESG-classification-en") model = AutoModelForSequenceClassification.from_pretrained("cea-list-ia/ESG-classification-en", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e7c88ed1217d268e204e57304976ef449b1095adc495a2f2a96c6e86c4b24ef
- Size of remote file:
- 4.98 kB
- SHA256:
- d979d1cc8400e519486152d8f369b072a475ed2f7c414818b283875c80fcf179
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