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
- Xet hash:
- 8abc58546ed69717a521960441e8ead64d7a72128279c07b19f73a3e0500d942
- Size of remote file:
- 499 MB
- SHA256:
- 012da4348436f40d3b55781bcfd9388a41f395b7fccc01ef55385be1a97099a7
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