Instructions to use dheerajpai/patentbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dheerajpai/patentbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dheerajpai/patentbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dheerajpai/patentbert") model = AutoModelForMaskedLM.from_pretrained("dheerajpai/patentbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from dheerajpai/patentbert: direct link, hf CLI and curl.
- Browser
- Download file 35 Bytes
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https://huggingface.co/dheerajpai/patentbert/resolve/main/README.md
- Command line
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hf download hf://dheerajpai/patentbert/README.md
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curl -L -o README.md https://huggingface.co/dheerajpai/patentbert/resolve/main/README.md
35 Bytes
metadata
license: mit