Text Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use SkyR/hing-roberta-ours-run-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkyR/hing-roberta-ours-run-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkyR/hing-roberta-ours-run-5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SkyR/hing-roberta-ours-run-5") model = AutoModelForSequenceClassification.from_pretrained("SkyR/hing-roberta-ours-run-5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7056ce2dea18b9501f9554a0ded053e7d5dfb22b5be3ac213541eff6d2eb19f
- Size of remote file:
- 3.39 kB
- SHA256:
- 8ab55653582971fc0706ee5954ae5152b4857e216b7db2439f08581f53ec373f
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