Instructions to use ania3000/glot500-base-oss-morph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ania3000/glot500-base-oss-morph with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ania3000/glot500-base-oss-morph")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ania3000/glot500-base-oss-morph") model = AutoModelForTokenClassification.from_pretrained("ania3000/glot500-base-oss-morph", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 952b2c611fa715b656f53e27c74f2fce40458ac720cec36f9fc5c1e3f3262b5d
- Size of remote file:
- 5.84 kB
- SHA256:
- 59addab14f27c4481c8f8db136c9277d3031f85db38f735d7a200df8f54a9c77
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