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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ee421375f9157f2c439ce832440d303b84952468033f94ba32664e21038923a8
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size 504198571
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