Fill-Mask
Transformers
Safetensors
modernbert
encoder
bcms
serbian
croatian
bosnian
montenegrin
south-slavic
long-context
Eval Results (legacy)
Instructions to use permitt/galton-modernbertic-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use permitt/galton-modernbertic-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="permitt/galton-modernbertic-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("permitt/galton-modernbertic-large") model = AutoModelForMaskedLM.from_pretrained("permitt/galton-modernbertic-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Test rezultati
#1
by cloudplumber2000 - opened
Zdravo, probao sam demo ovde na platformi.
Kada sam maskirao neku rec, nisam imao uspesan rezultat predikcije tih nekoliko puta u "free tier".
Uvek polazim od mene pa nisam siguran da li dobro interpretiram rezultate.
Hi, please try out now the model locally and report back the results :)
