Instructions to use webmichaelnosenko/rust-bert-base-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use webmichaelnosenko/rust-bert-base-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="webmichaelnosenko/rust-bert-base-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("webmichaelnosenko/rust-bert-base-NER") model = AutoModelForTokenClassification.from_pretrained("webmichaelnosenko/rust-bert-base-NER") - Notebooks
- Google Colab
- Kaggle
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README.md
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datasets:
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- conll2003
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license: mit
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---
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This is a rust-adapted ready to use version of https://huggingface.co/dslim/bert-base-NER
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I've generated the rust_model.ot file using the convert_model.py script provided by the rust_bert crate
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datasets:
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- conll2003
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license: mit
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tags: [rust]
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---
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This is a rust-adapted ready to use version of https://huggingface.co/dslim/bert-base-NER
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I've generated the rust_model.ot file using the convert_model.py script provided by the rust_bert crate
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