Text Classification
Transformers
Safetensors
English
roberta
accounting
business
sentiment
tone
esg
csr
text-embeddings-inference
Instructions to use soleimanian/roberta-accounting-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soleimanian/roberta-accounting-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="soleimanian/roberta-accounting-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("soleimanian/roberta-accounting-sentiment") model = AutoModelForSequenceClassification.from_pretrained("soleimanian/roberta-accounting-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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