Instructions to use IIC/RigoBERTa-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IIC/RigoBERTa-2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="IIC/RigoBERTa-2.0")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("IIC/RigoBERTa-2.0") model = AutoModelForMaskedLM.from_pretrained("IIC/RigoBERTa-2.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 759083f70171ca5d5f262ed7fff27cbf895ddbb7f63c0bcfab622ab908bd0a7f
- Size of remote file:
- 2.24 GB
- SHA256:
- 9f7d4ba95f3e2201250d1a29db3145f2f0dc0b73df2ef58a3895e18ba0e239b9
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