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:
- bcdddb54a5da282026b37e4da1ef60caf318e73bb1a846dd61d6760d9b50da58
- Size of remote file:
- 3.57 kB
- SHA256:
- 8e28d2604657078d7574d4d42fd2ef5bb31b37efe94409a82a439fb979e3c94b
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