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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| [project] | |
| name = "theo-bert-base" | |
| version = "0.1.0" | |
| description = "Standalone Hugging Face export for a custom biblical-domain masked language model." | |
| requires-python = ">=3.10" | |
| dependencies = [ | |
| "torch>=2.4.0", | |
| "transformers>=5.2.0", | |
| "safetensors>=0.7.0", | |
| ] | |
| [build-system] | |
| requires = ["hatchling"] | |
| build-backend = "hatchling.build" | |