Instructions to use Aktsvigun/bert-base-wikihow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktsvigun/bert-base-wikihow with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Aktsvigun/bert-base-wikihow")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/bert-base-wikihow") model = AutoModelForMaskedLM.from_pretrained("Aktsvigun/bert-base-wikihow") - Notebooks
- Google Colab
- Kaggle
add model
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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{
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"_name_or_path": "/
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"architectures": [
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"BertForMaskedLM"
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],
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{
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"_name_or_path": "outputs/abssum_wikihow_all_2022-06-21/bert-base-debate/best_model_on_val/",
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"architectures": [
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"BertForMaskedLM"
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],
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 438144466
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version https://git-lfs.github.com/spec/v1
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oid sha256:94a57205d5154e709ea259bf043ba11ad3236776d4bb99aceed7a14e19717e82
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size 438144466
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