Instructions to use summerdevlin46/xlmr-sing-ga-cy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use summerdevlin46/xlmr-sing-ga-cy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="summerdevlin46/xlmr-sing-ga-cy")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("summerdevlin46/xlmr-sing-ga-cy") model = AutoModelForTokenClassification.from_pretrained("summerdevlin46/xlmr-sing-ga-cy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb2ac774caa53fdbf70689ac28d2f28ec7fc6104eebd9b57990f6a1ca75c432e
- Size of remote file:
- 5.37 kB
- SHA256:
- f7b7d10d3a8191db83b0f3d535f7802bd8028cbb6c75c192a41505cf1312105b
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