Fill-Mask
Transformers
Safetensors
English
modernbert
distillation
knowledge-distillation
model-compression
Instructions to use codechrl/modernbert-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codechrl/modernbert-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="codechrl/modernbert-tiny")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("codechrl/modernbert-tiny") model = AutoModelForMaskedLM.from_pretrained("codechrl/modernbert-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbf0ba870ce81fc13c43ae70e3ab243e067833ab5f1f8dace2c136f0d4b59947
- Size of remote file:
- 88.4 MB
- SHA256:
- 6bb9fe8cd2515af89a7b02f5703ea72b5daa63ba55f11216e208671966328665
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.