Instructions to use fgaim/tibert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fgaim/tibert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="fgaim/tibert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("fgaim/tibert-base") model = AutoModelForMaskedLM.from_pretrained("fgaim/tibert-base") - Notebooks
- Google Colab
- Kaggle
Fitsum Gaim commited on
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Parent(s): 091ff14
Update tokenizer
Browse files- tokenizer.json +0 -0
tokenizer.json
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