Instructions to use omarelsayeed/New_Classifier_101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarelsayeed/New_Classifier_101 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="omarelsayeed/New_Classifier_101")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("omarelsayeed/New_Classifier_101") model = AutoModelForSequenceClassification.from_pretrained("omarelsayeed/New_Classifier_101") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c61b2f51a66830315e71f1738b059714f3217006f3e634c5b2a3d0623fc827aa
- Size of remote file:
- 46.3 MB
- SHA256:
- d5348f335defb8de917534d3287f55219de6c17ea3d311713c68303462322abe
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