Feature Extraction
sentence-transformers
Safetensors
slideon
sparse
sentence-similarity
custom-code
multilingual
code-search
sparse-retrieval
matryoshka
custom_code
🇪🇺 Region: EU
Instructions to use lightonai/mSlideOn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lightonai/mSlideOn with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lightonai/mSlideOn", trust_remote_code=True) 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] - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from lightonai/mSlideOn: direct link, hf CLI and curl.
- Browser
- Download file 633 Bytes
-
https://huggingface.co/lightonai/mSlideOn/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://lightonai/mSlideOn/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/lightonai/mSlideOn/resolve/main/tokenizer_config.json
633 Bytes
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<bos>", | |
| "clean_up_tokenization_spaces": false, | |
| "cls_token": "<bos>", | |
| "eos_token": "<eos>", | |
| "is_local": true, | |
| "mask_token": "<mask>", | |
| "max_length": 299, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 8191, | |
| "pad_to_multiple_of": null, | |
| "pad_token": "<mask>", | |
| "pad_token_type_id": 0, | |
| "padding_side": "right", | |
| "sep_token": "<eos>", | |
| "spaces_between_special_tokens": false, | |
| "stride": 0, | |
| "tokenizer_class": "TokenizersBackend", | |
| "truncation_side": "right", | |
| "truncation_strategy": "longest_first", | |
| "unk_token": "<unk>" | |
| } | |