Instructions to use FPTAI/vibert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FPTAI/vibert-base-cased with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FPTAI/vibert-base-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
upload flax model
728a912 -
allow flax
f03340c
-
allow flax
0f9c30b
-
Update pytorch_model.bin
c22d8c0 -
Update config.json
8087b95 -
Update vocab.txt
295e73e -
initial commit
2947397