Text Classification
Transformers
Safetensors
English
roberta
ESG
environmental
action
text-embeddings-inference
Instructions to use ESGBERT/EnvironmentalBERT-action with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ESGBERT/EnvironmentalBERT-action with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ESGBERT/EnvironmentalBERT-action")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ESGBERT/EnvironmentalBERT-action") model = AutoModelForSequenceClassification.from_pretrained("ESGBERT/EnvironmentalBERT-action", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
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