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:
- eec4f3c508f0013cbc3bdd8c7a4ad8c5009cf563550252b65c4d35956a3d85a4
- Size of remote file:
- 499 MB
- SHA256:
- ccb7af4cea5a8cb42c6479c2a878b79b0e03fa4862aeaa8520e4f3cc2c8004f3
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