Instructions to use D0men1c0/ISSR_Visual_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BERTopic
How to use D0men1c0/ISSR_Visual_Model with BERTopic:
from bertopic import BERTopic model = BERTopic.load("D0men1c0/ISSR_Visual_Model") - Notebooks
- Google Colab
- Kaggle
Download config.json from D0men1c0/ISSR_Visual_Model: direct link, hf CLI and curl.
- Browser
- Download file 349 Bytes
-
https://huggingface.co/D0men1c0/ISSR_Visual_Model/resolve/main/config.json
- Command line
-
hf download hf://D0men1c0/ISSR_Visual_Model/config.json
-
curl -L -o config.json https://huggingface.co/D0men1c0/ISSR_Visual_Model/resolve/main/config.json
349 Bytes
| { | |
| "calculate_probabilities": false, | |
| "language": null, | |
| "low_memory": false, | |
| "min_topic_size": 50, | |
| "n_gram_range": [ | |
| 1, | |
| 3 | |
| ], | |
| "nr_topics": null, | |
| "seed_topic_list": null, | |
| "top_n_words": 5, | |
| "verbose": true, | |
| "zeroshot_min_similarity": 0.7, | |
| "zeroshot_topic_list": null, | |
| "embedding_model": "clip-ViT-B-32" | |
| } |