Instructions to use ExponentialScience/LedgerBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ExponentialScience/LedgerBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ExponentialScience/LedgerBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ExponentialScience/LedgerBERT") model = AutoModelForMaskedLM.from_pretrained("ExponentialScience/LedgerBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Improve model card metadata and add links to paper/code (#1)
- Improve model card metadata and add links to paper/code (97ca5d9aeaafe50d0994106b1dc6ae332bfd12c7) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>97ea348
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