Text Classification
Transformers
Safetensors
English
modernbert
fill-mask
decision-model
routing
classification
verification
brier-score
calibration
bidirectional
Eval Results (legacy)
Instructions to use mpnikhil/dev-0.4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpnikhil/dev-0.4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mpnikhil/dev-0.4b")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mpnikhil/dev-0.4b") model = AutoModelForMaskedLM.from_pretrained("mpnikhil/dev-0.4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload assets/dynamic_choice_readout.png with huggingface_hub
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