in src/text_clustering.py [0:0]
def __init__(
self,
embed_model_name="all-MiniLM-L6-v2",
embed_device="cpu",
embed_batch_size=64,
embed_max_seq_length=512,
embed_agg_strategy=None,
umap_components=2,
umap_metric="cosine",
dbscan_eps=0.08,
dbscan_min_samples=50,
dbscan_n_jobs=16,
summary_create=True,
summary_model="mistralai/Mixtral-8x7B-Instruct-v0.1",
topic_mode="multiple_topics",
summary_n_examples=10,
summary_chunk_size=420,
summary_model_token=True,
summary_template=None,
summary_instruction=None,