Text Classification
Transformers
Safetensors
English
roberta
economics
finance
inflation
inflation-expectations
reddit
distilroberta
Eval Results (legacy)
text-embeddings-inference
Instructions to use andreadm/reddit-pulse-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreadm/reddit-pulse-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andreadm/reddit-pulse-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andreadm/reddit-pulse-bert") model = AutoModelForSequenceClassification.from_pretrained("andreadm/reddit-pulse-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Note that the checkpoint was retrained and its metrics may differ from the paper
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Rename to reddit-pulse-bert: title and repository id in the card
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initial commit
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