Fill-Mask
Transformers
Safetensors
Chinese
bert
chinese-babylm
masked-language-modeling
pretraining
track1
Eval Results (legacy)
Instructions to use NanceTide/chinese-babylm-bert-mlm-first with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NanceTide/chinese-babylm-bert-mlm-first with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NanceTide/chinese-babylm-bert-mlm-first")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NanceTide/chinese-babylm-bert-mlm-first") model = AutoModelForMaskedLM.from_pretrained("NanceTide/chinese-babylm-bert-mlm-first", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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