Instructions to use ThePixOne/EconBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThePixOne/EconBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ThePixOne/EconBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ThePixOne/EconBERTa") model = AutoModelForMaskedLM.from_pretrained("ThePixOne/EconBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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EconBERTa - RoBERTa further trained
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Example usage for MLM:
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EconBERTa - RoBERTa further trained for 25k steps (T=512, batch_size = 256) on text sourced from economics books.
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Example usage for MLM:
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