Instructions to use razent/spbert-mlm-zero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use razent/spbert-mlm-zero with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="razent/spbert-mlm-zero")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("razent/spbert-mlm-zero", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a6d2448a71d2d58fbb87282d40a541d573ece6d14cc7b196381535acdfc8aa7
- Size of remote file:
- 433 MB
- SHA256:
- f5124d49fda53cbd4a01817eb778f6983b4f9bc2798d67cc64bcd82ae317bda5
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