Instructions to use Monda/task1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Monda/task1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Monda/task1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Monda/task1") model = AutoModelForSequenceClassification.from_pretrained("Monda/task1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bf1f086f933b84cef5a6351e86eba2f15ff59e3b96ef6102fb344a5f412af18
- Size of remote file:
- 5.37 kB
- SHA256:
- 34a93dfed6bc40a1c8f576a173ff5955dfbd48394c8697b1d447806688ea13f4
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