Instructions to use alexbrandsen/ArchaeoBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexbrandsen/ArchaeoBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="alexbrandsen/ArchaeoBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("alexbrandsen/ArchaeoBERT") model = AutoModelForMaskedLM.from_pretrained("alexbrandsen/ArchaeoBERT") - Notebooks
- Google Colab
- Kaggle
ArchaeoBERT
An English BERT model for the Archaeology domain
This model is based on the bert-base-cased model (https://huggingface.co/bert-base-cased).
We further finetuned bert-base-cased with a corpus of roughly 44k documents (~264 million tokens) from the ADS library (https://archaeologydataservice.ac.uk/library/index.xhtml).
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