Fill-Mask
Transformers
Safetensors
English
modernbert
distillation
knowledge-distillation
model-compression
Instructions to use codechrl/modernbert-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codechrl/modernbert-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="codechrl/modernbert-mini")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("codechrl/modernbert-mini") model = AutoModelForMaskedLM.from_pretrained("codechrl/modernbert-mini") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e926c7ebe292ef4e64005b45252409c15fd678234eb16095df9a532f970fe6e
- Size of remote file:
- 278 MB
- SHA256:
- 462e202ed275c99b8d5c5380d20d7dde621496f6fb57330b3a68b0371106394b
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