Sentence Similarity
sentence-transformers
PyTorch
Transformers
Divehi
bert
feature-extraction
text-embeddings-inference
Instructions to use ashraq/tsdae-bert-base-dv-news-title with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ashraq/tsdae-bert-base-dv-news-title with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ashraq/tsdae-bert-base-dv-news-title") 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 ashraq/tsdae-bert-base-dv-news-title with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ashraq/tsdae-bert-base-dv-news-title") model = AutoModel.from_pretrained("ashraq/tsdae-bert-base-dv-news-title", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from ashraq/tsdae-bert-base-dv-news-title: direct link, hf CLI and curl.
- Browser
- Download file 418 Bytes
-
https://huggingface.co/ashraq/tsdae-bert-base-dv-news-title/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://ashraq/tsdae-bert-base-dv-news-title/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/ashraq/tsdae-bert-base-dv-news-title/resolve/main/tokenizer_config.json
418 Bytes
| {"unk_token": "[UNK]", "pad_token": "[PAD]", "cls_token": "[CLS]", "sep_token": "[SEP]", "mask_token": "[MASK]", "special_tokens_map_file": "/home/studio-lab-user/.cache/huggingface/transformers/4c862d274b17afb624c8466b2a632a75acee4d4c6fb3bba2a400c6d0acc34047.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "./tsdae-bert-base-dv-news/", "tokenizer_class": "PreTrainedTokenizerFast"} |