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")# pip install -U transformers accelerate # 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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license: mit
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pipeline_tag: text-classification
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- text: "Is this review positive or negative? Review: Best cast iron skillet you will ever buy."
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license: mit
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pipeline_tag: text-classification
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datasets:
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- MAPAi/inflation_news
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language:
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- en
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library_name: transformers
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tags:
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- finance
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- sentiment-analysis
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widget:
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- text: "Is this review positive or negative? Review: Best cast iron skillet you will ever buy."
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---
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