Instructions to use razent/spbert-mlm-wso-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use razent/spbert-mlm-wso-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="razent/spbert-mlm-wso-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("razent/spbert-mlm-wso-base") model = AutoModelForMaskedLM.from_pretrained("razent/spbert-mlm-wso-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 697d21f5c3da7d6016e3e47d0661cff973761b781493ba7f8c100133b194696b
- Size of remote file:
- 433 MB
- SHA256:
- 4bf08c2fc7a348a262df279cb0cd35c876638b4ad83eafb85c5be238907ebf2d
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