Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
movie-retrieval
fine-tuned
text-embeddings-inference
Instructions to use razsarusi/plottwist-embedder-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use razsarusi/plottwist-embedder-ft with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("razsarusi/plottwist-embedder-ft") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Upload eval_recall_base_vs_ft.json with huggingface_hub
Browse files
eval_recall_base_vs_ft.json
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{"base":{"recall@1":0.7533333333,"recall@5":0.89,"recall@10":0.9183333333},"fine_tuned":{"recall@1":0.845,"recall@5":0.9333333333,"recall@10":0.9533333333},"delta":{"recall@1":0.0916666667,"recall@5":0.0433333333,"recall@10":0.035}}
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