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:
- 5acd31d5cc436d159b56958839b194f09a1de65971f4ede710cad46ddddb1cc5
- Size of remote file:
- 17.1 MB
- SHA256:
- 9a4661b2cb6b8a1007906509fe18cbfbc03062a086102bf7b80cfedb80f16c37
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