Instructions to use castorini/azbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/azbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="castorini/azbert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("castorini/azbert-base") model = AutoModelForPreTraining.from_pretrained("castorini/azbert-base") - Notebooks
- Google Colab
- Kaggle
| events.out.tfevents.1631471189.blg4302.int.ets1.calculquebec.ca.240020.0 filter=lfs diff=lfs merge=lfs -text | |
| pytorch_model.bin filter=lfs diff=lfs merge=lfs -text | |