Instructions to use lambdaofgod/paperswithcode_word2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lambdaofgod/paperswithcode_word2vec with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lambdaofgod/paperswithcode_word2vec") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download config_sentence_transformers.json from lambdaofgod/paperswithcode_word2vec: direct link, hf CLI and curl.
- Browser
- Download file 124 Bytes
-
https://huggingface.co/lambdaofgod/paperswithcode_word2vec/resolve/main/config_sentence_transformers.json
- Command line
-
hf download hf://lambdaofgod/paperswithcode_word2vec/config_sentence_transformers.json
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curl -L -o config_sentence_transformers.json https://huggingface.co/lambdaofgod/paperswithcode_word2vec/resolve/main/config_sentence_transformers.json
124 Bytes
| { | |
| "__version__": { | |
| "sentence_transformers": "2.2.0", | |
| "transformers": "4.20.1", | |
| "pytorch": "1.10.0+cu113" | |
| } | |
| } |