Instructions to use moma1820/cluster4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moma1820/cluster4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="moma1820/cluster4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("moma1820/cluster4") model = AutoModelForSequenceClassification.from_pretrained("moma1820/cluster4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c03d9df5d7b36638239d803a602e4dacb03876fce8665f61cccbf39277b740ff
- Size of remote file:
- 1.11 GB
- SHA256:
- 614bc922e56f01110e192c5952dbadb12c759d172cd53a6d932a4aa5c6c81b6e
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