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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b025f52f5f6606f6004349fb7258dbabb43f50530da7472e91a64aab1418377a
- Size of remote file:
- 1.38 GB
- SHA256:
- 5fa48b9246d24288a62ea68ce6738b758e7c1764181b18dae0ff571b35c5fab7
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