Fill-Mask
Transformers
Safetensors
English
theo_bert_base
masked-language-modeling
bible
theology
christianity
trust-remote-code
custom_code
Eval Results (legacy)
Instructions to use toranb/theo-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toranb/theo-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="toranb/theo-bert-base", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("toranb/theo-bert-base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 251 Bytes
a64c547 | 1 2 3 4 5 6 7 8 9 10 11 12 | from .configuration_theo_bert_base import TheoBertBaseConfig
from .modeling_theo_bert_base import (
TheoBertBaseForMaskedLM,
TheoBertBaseModel,
)
__all__ = [
"TheoBertBaseConfig",
"TheoBertBaseModel",
"TheoBertBaseForMaskedLM",
]
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