Text Classification
Transformers
Safetensors
French
English
distilbert
ESG
sustainability
environment
social
governance
classification
text-embeddings-inference
Instructions to use cea-list-ia/ESG-classification-fr-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-fr-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-fr-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cea-list-ia/ESG-classification-fr-en") model = AutoModelForSequenceClassification.from_pretrained("cea-list-ia/ESG-classification-fr-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a29938a70c77f98da458166e408a1d8ea0e08134e65f4df24f6a1507183c669
- Size of remote file:
- 4.98 kB
- SHA256:
- 45898406f5b867ef5717f6bef3accb87068bd255eb29016ef36f201fc5e36c25
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