Fill-Mask
Transformers
Safetensors
English
deberta-v2
babylm
babylm-2026
strict-small
masked-language-modeling
trust-remote-code
sample-efficient-pretraining
custom_code
Instructions to use leslie721007/babylm-strict-small-coherent86 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leslie721007/babylm-strict-small-coherent86 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="leslie721007/babylm-strict-small-coherent86", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("leslie721007/babylm-strict-small-coherent86", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("leslie721007/babylm-strict-small-coherent86", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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