Instructions to use language-ml-lab/AzerBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use language-ml-lab/AzerBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="language-ml-lab/AzerBert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("language-ml-lab/AzerBert") model = AutoModelForMaskedLM.from_pretrained("language-ml-lab/AzerBert") - Notebooks
- Google Colab
- Kaggle
AzerBERT
- Type: BERT-based language model transformer
- Description: AzerBERT is a pre-trained language model specifically tailored for the Iranian Azerbaijani language. It can be used for various NLP tasks, including text classification, named entity recognition, and more.
How to use
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="language-ml-lab/AzerBert")
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("language-ml-lab/AzerBert")
model = AutoModelForMaskedLM.from_pretrained("language-ml-lab/AzerBert")
- Downloads last month
- 16