Instructions to use razhan/roberta-base-ckb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use razhan/roberta-base-ckb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="razhan/roberta-base-ckb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("razhan/roberta-base-ckb") model = AutoModelForMaskedLM.from_pretrained("razhan/roberta-base-ckb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b15078877b3882013b96850c2fd53142211a88fefcb54ab83c74901e006f1820
- Size of remote file:
- 504 MB
- SHA256:
- ee421375f9157f2c439ce832440d303b84952468033f94ba32664e21038923a8
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