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Biobertology

Ready to use BioBert pytorch weights for HuggingFace pytorch BertModel.

To load the model:

from biobertology import get_biobert, get_tokenizer

biobert = get_biobert(model_dir=None, download=True)
tokenizer = get_tokenizer()

Example of fine tuning biobert here.

How was it converted to pytorch?

Model weights have been downloaded from here and converted

by following the commands described here.pytorch

Specifically, using the command:

pytorch_transformers bert biobert_v1.1_pubmed/model.ckpt-1000000 biobert_v1.1_pubmed/bert_config.json biobert_v1.1_pubmed/pytorch_model.bin

followed by the renaming of the config file:

mv biobert_v1.1_pubmed/bert_config.json biobert_v1.1_pubmed/config.json

all of the other files inside the original weights file have been deleted.

Release files for biobert-pytorch 0.9

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for biobert-pytorch 0.9
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biobert-pytorch-0.9.tar.gz 2.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for biobert-pytorch 0.9
File Interpreter ABI Platform
biobert_pytorch-0.9-py3-none-any.whl Python 3 none any Details

Total release size: 7.0 kB

Release files / biobert-pytorch-0.9.tar.gz

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Size 2.7 kB
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Release files / biobert_pytorch-0.9-py3-none-any.whl

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