Instructions to use ania3000/glot500-base-kuoss-morph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ania3000/glot500-base-kuoss-morph with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ania3000/glot500-base-kuoss-morph")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ania3000/glot500-base-kuoss-morph") model = AutoModelForTokenClassification.from_pretrained("ania3000/glot500-base-kuoss-morph", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b0baa56bd4875bb3b2776a5385af18db35c1a900faa8e8c23f97576f5050450
- Size of remote file:
- 5.84 kB
- SHA256:
- 5120187ac8dc72857894f81e5026e8b579e4f6884f38147579003040e9272cb4
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