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:
- 2bcfa14dfb257d4d6e4aed3e02c7c8c9a00e098b12ff526535a045cec03eab7f
- Size of remote file:
- 470 MB
- SHA256:
- d78e494c13b4c1ae0680e8c2b1ffc2c17e412f298fd477fe2174ee033b9ac621
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