Instructions to use radmada/FinBERT-BaseVocab-Cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use radmada/FinBERT-BaseVocab-Cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="radmada/FinBERT-BaseVocab-Cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("radmada/FinBERT-BaseVocab-Cased") model = AutoModelForMaskedLM.from_pretrained("radmada/FinBERT-BaseVocab-Cased") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot