Instructions to use asparius/XLMR-yemek with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asparius/XLMR-yemek with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="asparius/XLMR-yemek")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("asparius/XLMR-yemek") model = AutoModelForSequenceClassification.from_pretrained("asparius/XLMR-yemek", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad793e8b5feabb82157e720a67f382f1dbf83c256d130bb25dff8c67a5e68b60
- Size of remote file:
- 2.24 GB
- SHA256:
- 03758e053190a268aa72bd824f926c8284ea314dfa643f1607d60e30c7679ca4
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