Instructions to use AnanthZeke/distilbert-base-multilingual-cased-naamapadam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnanthZeke/distilbert-base-multilingual-cased-naamapadam with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AnanthZeke/distilbert-base-multilingual-cased-naamapadam")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AnanthZeke/distilbert-base-multilingual-cased-naamapadam") model = AutoModelForTokenClassification.from_pretrained("AnanthZeke/distilbert-base-multilingual-cased-naamapadam") - Notebooks
- Google Colab
- Kaggle