Instructions to use Shadman-Rohan/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shadman-Rohan/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shadman-Rohan/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shadman-Rohan/results") model = AutoModelForSequenceClassification.from_pretrained("Shadman-Rohan/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfe4f24cb58b883cc616af88805918ca3def4141c49affbda73b01b8c0575177
- Size of remote file:
- 268 MB
- SHA256:
- 62b7e720d7ec421b5f8b82856dffe95d72796d28ed0f84cf639276695c8811ff
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