Instructions to use apriadiazriel/bert_base_ncbi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apriadiazriel/bert_base_ncbi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="apriadiazriel/bert_base_ncbi")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("apriadiazriel/bert_base_ncbi") model = AutoModelForTokenClassification.from_pretrained("apriadiazriel/bert_base_ncbi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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results: []
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datasets:
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- ncbi/ncbi_disease
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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results: []
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datasets:
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- ncbi/ncbi_disease
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language:
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- en
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metrics:
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- f1
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pipeline_tag: token-classification
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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