Instructions to use gokuls/bert_base_24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gokuls/bert_base_24 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gokuls/bert_base_24")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gokuls/bert_base_24") model = AutoModelForMaskedLM.from_pretrained("gokuls/bert_base_24") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
generation_config.json
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{
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"_from_model_config": true,
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"pad_token_id": 0,
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"transformers_version": "4.30.1"
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}
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logs/events.out.tfevents.1686366395.serv-9224.1583679.0
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:76f0900a903ef5113410e43e909e8007c46f8702a1c3a0a4fa7c8e5b9b0aaa24
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size 32448
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