Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:453
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use saraleivam/GURU-trained-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use saraleivam/GURU-trained-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("saraleivam/GURU-trained-model") sentences = [ "Introduction to blockchain technology.", "Desarrollador de software con experiencia en APIs RESTful", "Graphic designer with Adobe Illustrator skills.", "Blockchain developer with smart contract experience." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from saraleivam/GURU-trained-model: direct link, hf CLI and curl.
- Browser
- Download file 964 Bytes
-
https://huggingface.co/saraleivam/GURU-trained-model/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://saraleivam/GURU-trained-model/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/saraleivam/GURU-trained-model/resolve/main/special_tokens_map.json
964 Bytes
| { | |
| "bos_token": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "cls_token": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "mask_token": { | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<pad>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "sep_token": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |