Instructions to use Bennet1996/finetuning-ESG-sentiment-model-distilbert_new_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bennet1996/finetuning-ESG-sentiment-model-distilbert_new_data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Bennet1996/finetuning-ESG-sentiment-model-distilbert_new_data")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Bennet1996/finetuning-ESG-sentiment-model-distilbert_new_data") model = AutoModelForSequenceClassification.from_pretrained("Bennet1996/finetuning-ESG-sentiment-model-distilbert_new_data") - Notebooks
- Google Colab
- Kaggle
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