Sentence Similarity
sentence-transformers
Safetensors
gemma3_text
feature-extraction
dense
Generated from Trainer
dataset_size:6
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use bebechien/embedding-gemma-finetuned-hn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use bebechien/embedding-gemma-finetuned-hn with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("bebechien/embedding-gemma-finetuned-hn") sentences = [ "MY_FAVORITE_NEWS", "Show HN: I've built a tiny hand-held keyboard", "LLMs are mortally terrified of exceptions", "My first contribution to Linux" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from bebechien/embedding-gemma-finetuned-hn: direct link, hf CLI and curl.
- Browser
- Download file 662 Bytes
-
https://huggingface.co/bebechien/embedding-gemma-finetuned-hn/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://bebechien/embedding-gemma-finetuned-hn/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/bebechien/embedding-gemma-finetuned-hn/resolve/main/special_tokens_map.json
662 Bytes
| { | |
| "boi_token": "<start_of_image>", | |
| "bos_token": { | |
| "content": "<bos>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eoi_token": "<end_of_image>", | |
| "eos_token": { | |
| "content": "<eos>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "image_token": "<image_soft_token>", | |
| "pad_token": { | |
| "content": "<pad>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |