Instructions to use am-infoweb/classification_test_24Jan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use am-infoweb/classification_test_24Jan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="am-infoweb/classification_test_24Jan")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("am-infoweb/classification_test_24Jan") model = AutoModelForSequenceClassification.from_pretrained("am-infoweb/classification_test_24Jan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77696a502706482ad9614be4614ead0678e3920c001d14827bb294bef1f9b26d
- Size of remote file:
- 4.6 kB
- SHA256:
- 1aabe5934f93500e4575238cbd9fe096299b2e185f45e242870ab97402cd5bc8
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