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")# pip install -U transformers accelerate # 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
Download model.safetensors from cea-list-ia/ESG-classification-en: direct link, hf CLI and curl.
- Browser
- Download file 264 MB
-
https://huggingface.co/cea-list-ia/ESG-classification-en/resolve/main/model.safetensors
- Command line
-
hf download hf://cea-list-ia/ESG-classification-en/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/cea-list-ia/ESG-classification-en/resolve/main/model.safetensors
264 MB
- Xet hash:
- c4ad02f813208167edfb8da12ada07730933f58cbd57e4358f2fcc5d0b8b88f3
- Size of remote file:
- 264 MB
- SHA256:
- 6876d38e44f2b69e9bcab9dc94231cb10557b322cb00b7b7f3ee846cab7dff8c
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