Instructions to use mstaron/SingletonBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mstaron/SingletonBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mstaron/SingletonBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mstaron/SingletonBERT") model = AutoModelForMaskedLM.from_pretrained("mstaron/SingletonBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6535bdde656107039c2e9de87d670bbb73756c4b0aa2fe65b56bd89713778329
- Size of remote file:
- 668 MB
- SHA256:
- 14b6ca3e555409a0fc096c940cb82a31d1d40c656e601a6e867efca413f8a1ac
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