Zero-Shot Classification
Transformers
Safetensors
Arabic
bert
feature-extraction
arabic
prompt-routing
router
encoder
tiny-model
Instructions to use oddadmix/Nawah-Router-BERT-6M-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oddadmix/Nawah-Router-BERT-6M-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="oddadmix/Nawah-Router-BERT-6M-v2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("oddadmix/Nawah-Router-BERT-6M-v2") model = AutoModel.from_pretrained("oddadmix/Nawah-Router-BERT-6M-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add router_model.pt
Browse files- router_model.pt +3 -0
router_model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a883b8e71b9633c8413efe03f4ddea1231a9997e5e48854fe6038b86c57c775b
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size 23970110
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