Instructions to use nadellaroshni/test_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nadellaroshni/test_model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nadellaroshni/test_model2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nadellaroshni/test_model2") model = AutoModelForSequenceClassification.from_pretrained("nadellaroshni/test_model2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0480d2cdcc877418d1bdb8f416bb316f4c1b68970bd3f6271b3a17f88dcf2072
- Size of remote file:
- 711 kB
- SHA256:
- 435667fab0c06c165b1283ecb422497c37124f2d6a35b2ac73dc876332fc9518
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