Instructions to use Edwintos/Topic_Classification_BiLSTM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edwintos/Topic_Classification_BiLSTM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Edwintos/Topic_Classification_BiLSTM")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Edwintos/Topic_Classification_BiLSTM") model = AutoModelForSequenceClassification.from_pretrained("Edwintos/Topic_Classification_BiLSTM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 799621fc127b73def6fa039cd433ad1f3a6085faee232b91ede834d1ab9a25d1
- Size of remote file:
- 2.24 GB
- SHA256:
- c3574ec8fec5ce56d51803481274695f651ae63737f5cc64cf2ff30f08e47f8e
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