Instructions to use reginaboateng/bert_for_finacial_triples_completion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reginaboateng/bert_for_finacial_triples_completion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="reginaboateng/bert_for_finacial_triples_completion")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("reginaboateng/bert_for_finacial_triples_completion") model = AutoModelForMaskedLM.from_pretrained("reginaboateng/bert_for_finacial_triples_completion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (85e54af648515d40faa88972ee974f82ded0b83a) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>2525e17
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Upload BertForMaskedLM
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initial commit
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