Instructions to use dss107/mp_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dss107/mp_base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dss107/mp_base") 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] - setfit
How to use dss107/mp_base with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("dss107/mp_base") - Notebooks
- Google Colab
- Kaggle
File size: 471 Bytes
05a378d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"bos_token": "<s>",
"cls_token": "<s>",
"do_lower_case": true,
"eos_token": "</s>",
"mask_token": "<mask>",
"model_max_length": 512,
"name_or_path": "C:\\Users\\DSS-PC/.cache\\torch\\sentence_transformers\\sentence-transformers_all-mpnet-base-v2\\",
"pad_token": "<pad>",
"sep_token": "</s>",
"special_tokens_map_file": null,
"strip_accents": null,
"tokenize_chinese_chars": true,
"tokenizer_class": "MPNetTokenizer",
"unk_token": "[UNK]"
}
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