Instructions to use Alprocco/semi_supervised_bertopic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alprocco/semi_supervised_bertopic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alprocco/semi_supervised_bertopic")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Alprocco/semi_supervised_bertopic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 229 Bytes
cd59307 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"calculate_probabilities": false,
"language": null,
"low_memory": false,
"min_topic_size": 10,
"n_gram_range": [
1,
1
],
"nr_topics": 30,
"seed_topic_list": null,
"top_n_words": 10,
"verbose": true
} |