Instructions to use fgaim/tiroberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fgaim/tiroberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="fgaim/tiroberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("fgaim/tiroberta-base") model = AutoModelForMaskedLM.from_pretrained("fgaim/tiroberta-base") - Notebooks
- Google Colab
- Kaggle
Update models
Browse files- flax_model.msgpack +1 -1
- pytorch_model.bin +1 -1
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