Text Classification
Transformers
Safetensors
English
roberta
finance
sentiment-analysis
text-embeddings-inference
Instructions to use MAPAi/InflaBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MAPAi/InflaBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MAPAi/InflaBERT", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MAPAi/InflaBERT") model = AutoModelForSequenceClassification.from_pretrained("MAPAi/InflaBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# Model Card for MAPAi/InflaBERT
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### Training Data
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# Model Card for MAPAi/InflaBERT
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A BERT-based LLM fine-tuned (from https://huggingface.co/mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis) to predict inflation-related sentiment in news.
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### Training Data
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