How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="MAPAi/InflaBERT")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("MAPAi/InflaBERT")
model = AutoModelForSequenceClassification.from_pretrained("MAPAi/InflaBERT")
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Model Card for MAPAi/InflaBERT

A BERT-based LLM fine-tuned (from https://huggingface.co/mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis) to predict inflation-related sentiment in news.

Training Data

Model trained on the MAPAi/inflation_news dataset: https://huggingface.co/datasets/MAPAi/inflation_news

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Model size
82.1M params
Tensor type
F32
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