Instructions to use ignatius/igbo_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ignatius/igbo_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ignatius/igbo_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ignatius/igbo_model") model = AutoModelForTokenClassification.from_pretrained("ignatius/igbo_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- becf9426bbd84495696c5a83e23fbfcb07eb5ceb0aeb4fec0b3fd41487267004
- Size of remote file:
- 1.4 kB
- SHA256:
- 103e5797bd5bdb65c34560e5efa2997cb8a9a2afb566d818b8cca6ad3a0c22da
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