Instructions to use selsar/broad_categories with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use selsar/broad_categories with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="selsar/broad_categories")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("selsar/broad_categories") model = AutoModelForSequenceClassification.from_pretrained("selsar/broad_categories", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f132a8765e005f2239e7a3106a4611f3f401c9802a427d7dd641dffa4051437b
- Size of remote file:
- 16.3 MB
- SHA256:
- 377d1698ae3ca11cf58063fc1278a3926994ddeed0c584efdb8bdb58b1deaf3f
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