Instructions to use sultan/ArabicTransformer-base-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sultan/ArabicTransformer-base-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sultan/ArabicTransformer-base-encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sultan/ArabicTransformer-base-encoder") model = AutoModel.from_pretrained("sultan/ArabicTransformer-base-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
dea46ea | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7d80c4651affe485eebb0ae33db631dd72e2c49327dd6a09135aa6042d321f54
size 706760626
|