Instructions to use annedirkson/BERT_embeddings_ADR_normalization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use annedirkson/BERT_embeddings_ADR_normalization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="annedirkson/BERT_embeddings_ADR_normalization")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("annedirkson/BERT_embeddings_ADR_normalization") model = AutoModel.from_pretrained("annedirkson/BERT_embeddings_ADR_normalization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Updated to Transformers v4
9055103
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updated pytorch model for new concept dictionary
f832947 -
Merge branch 'main' of https://huggingface.co/annedirkson/BERT_embeddings_ADR_normalization into main
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model update with different concepts
f11c946
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upload flax model
c18d037 -
allow flax
bc912ae
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allow flax
4c97fc6
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TF model created by annedirkson
05fa62a -
Changed config file by annedirkson
a347f1b -
Removed files unrelated to model by annedirkson
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commit from
cba2935 -
initial commit
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