Instructions to use tau/tavbert-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tau/tavbert-ar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tau/tavbert-ar")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tau/tavbert-ar") model = AutoModelForMaskedLM.from_pretrained("tau/tavbert-ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
96b589c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8698054675af696bb0f18c1268ef07d2d2e1497714a96a01551b25347f225197
size 349911826
|