Instructions to use marcosgg/bert-base-gl-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcosgg/bert-base-gl-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="marcosgg/bert-base-gl-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("marcosgg/bert-base-gl-cased") model = AutoModelForMaskedLM.from_pretrained("marcosgg/bert-base-gl-cased") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
7bf3cfe | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f43cf7999a24cc0d2c98821316fde6a2504ccc008512c92d1beb9ad11c35880d
size 714309358
|