How to use Trungdjoon/esg_score-roberta-environment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Trungdjoon/esg_score-roberta-environment")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Trungdjoon/esg_score-roberta-environment") model = AutoModelForSequenceClassification.from_pretrained("Trungdjoon/esg_score-roberta-environment", device_map="auto")
https://huggingface.co/Trungdjoon/esg_score-roberta-environment/resolve/main/tokenizer.json
hf download hf://Trungdjoon/esg_score-roberta-environment/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Trungdjoon/esg_score-roberta-environment/resolve/main/tokenizer.json
