Instructions to use anferico/bert-for-patents with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anferico/bert-for-patents with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="anferico/bert-for-patents")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("anferico/bert-for-patents", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
BERT for Patents
BERT for Patents is a model trained by Google on 100M+ patents (not just US patents). It is based on BERTLARGE.
If you want to learn more about the model, check out the blog post, white paper and GitHub page containing the original TensorFlow checkpoint.
Projects using this model (or variants of it):
- Patents4IPPC (carried out by Pi School and commissioned by the Joint Research Centre (JRC) of the European Commission)
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