Token Classification
Transformers
Safetensors
Kabyle
belaid
kabyle
taqbaylit
berber
amazigh
punctuation-restoration
truecasing
asr-post-processing
low-resource
custom_code
Eval Results (legacy)
Instructions to use agbalu/Belaid-31M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agbalu/Belaid-31M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="agbalu/Belaid-31M", trust_remote_code=True)# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("agbalu/Belaid-31M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle