Instructions to use omarelsayeed/New_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarelsayeed/New_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="omarelsayeed/New_Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("omarelsayeed/New_Classifier") model = AutoModelForSequenceClassification.from_pretrained("omarelsayeed/New_Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d9f15ddc6b68acc42a7070bd4c9bbc63983c07a0a3b4a1328a575e7e1a0ca30
- Size of remote file:
- 46.3 MB
- SHA256:
- 4fa05a3409f385c8245f97d920685a873f57a7fe75dba304ca0a37cd63745bba
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