Instructions to use thunlp/neuba-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thunlp/neuba-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="thunlp/neuba-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("thunlp/neuba-bert") model = AutoModelForMaskedLM.from_pretrained("thunlp/neuba-bert") - Notebooks
- Google Colab
- Kaggle
Commit ·
033bcb3
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Parent(s): 6c72a5a
add pooler
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pytorch_model.bin
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