Instructions to use Milanmg/bert-base-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Milanmg/bert-base-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Milanmg/bert-base-multilingual")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Milanmg/bert-base-multilingual") model = AutoModelForMaskedLM.from_pretrained("Milanmg/bert-base-multilingual") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
0f57406 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ebee9a143c50f975a7d5074642150011e112a65d8362dd6b6b84867ee689f2ad
size 711905363
|