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:
- c166a979b1b75f9632c1e2efeda247f2b130abf4b3b0ed33fd0623f91d54f572
- Size of remote file:
- 5.37 kB
- SHA256:
- d2152b79a2233081d8a1b2da7a11c15149102b3aeb6e923942dcba6525eb5c26
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