Instructions to use gbpatentdata/patent_entities_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gbpatentdata/patent_entities_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="gbpatentdata/patent_entities_ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("gbpatentdata/patent_entities_ner") model = AutoModelForTokenClassification.from_pretrained("gbpatentdata/patent_entities_ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download data_split_train.csv from gbpatentdata/patent_entities_ner: direct link, hf CLI and curl.
- Browser
- Download file 845 kB
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https://huggingface.co/gbpatentdata/patent_entities_ner/resolve/main/data_split_train.csv
- Command line
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hf download hf://gbpatentdata/patent_entities_ner/data_split_train.csv
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curl -L -o data_split_train.csv https://huggingface.co/gbpatentdata/patent_entities_ner/resolve/main/data_split_train.csv
845 kB
File too large to display, you can check the raw version instead.