Instructions to use gokuls/bert_base_120 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gokuls/bert_base_120 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gokuls/bert_base_120")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gokuls/bert_base_120") model = AutoModelForMaskedLM.from_pretrained("gokuls/bert_base_120") - 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": "4.30.2"
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}
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logs/events.out.tfevents.1687094709.kyoto.116903.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:7cf865c34536e892a30b8d490aee23f566731e59986801fb254435914413ec19
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size 33762
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