Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use nadellaroshni/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nadellaroshni/test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nadellaroshni/test_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nadellaroshni/test_model") model = AutoModelForSequenceClassification.from_pretrained("nadellaroshni/test_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96a82bdc5a752e6f12b471aee7c8568723ea7bde13dfa8703cd618445df70b76
- Size of remote file:
- 4.66 kB
- SHA256:
- a7c52d6ba4ae68c6b0e71e0d5316111d48164b875c3ca665af42a65029cceb8e
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