Feature Extraction
sentence-transformers
Safetensors
Transformers
Russian
English
t5
mteb
Eval Results (legacy)
Instructions to use LeoCristt/hackathon-embedding-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use LeoCristt/hackathon-embedding-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LeoCristt/hackathon-embedding-model") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Transformers
How to use LeoCristt/hackathon-embedding-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LeoCristt/hackathon-embedding-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("LeoCristt/hackathon-embedding-model") model = AutoModel.from_pretrained("LeoCristt/hackathon-embedding-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from LeoCristt/hackathon-embedding-model: direct link, hf CLI and curl.
- Browser
- Download file 1.01 kB
-
https://huggingface.co/LeoCristt/hackathon-embedding-model/resolve/c741c3864ca6221e915d0df999f6377e9eedeca5/special_tokens_map.json
- Command line
-
hf download hf://LeoCristt/hackathon-embedding-model@c741c3864ca6221e915d0df999f6377e9eedeca5/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/LeoCristt/hackathon-embedding-model/resolve/c741c3864ca6221e915d0df999f6377e9eedeca5/special_tokens_map.json
1.01 kB
| { | |
| "bos_token": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "cls_token": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "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": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "sep_token": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |