Instructions to use abhi1nandy2/Bible-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhi1nandy2/Bible-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="abhi1nandy2/Bible-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("abhi1nandy2/Bible-roberta-base") model = AutoModelForMaskedLM.from_pretrained("abhi1nandy2/Bible-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c56645d3aa1be88866610b7c1ec92bed985f08d1ebe660616a4ffbadfdbc9750
- Size of remote file:
- 499 MB
- SHA256:
- 5df654622e10829940d7b6f5c228669c3fcce781996439010f9a232516b4b7a3
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