Instructions to use sentence-transformers/gtr-t5-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/gtr-t5-xl with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/gtr-t5-xl") 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 modules.json from sentence-transformers/gtr-t5-xl: direct link, hf CLI and curl.
- Browser
- Download file 461 Bytes
-
https://huggingface.co/sentence-transformers/gtr-t5-xl/resolve/b1d8428e001cbe085fb24e48babf3913013e6dc0/modules.json
- Command line
-
hf download hf://sentence-transformers/gtr-t5-xl@b1d8428e001cbe085fb24e48babf3913013e6dc0/modules.json
-
curl -L -o modules.json https://huggingface.co/sentence-transformers/gtr-t5-xl/resolve/b1d8428e001cbe085fb24e48babf3913013e6dc0/modules.json
461 Bytes
| [ | |
| { | |
| "idx": 0, | |
| "name": "0", | |
| "path": "", | |
| "type": "sentence_transformers.models.Transformer" | |
| }, | |
| { | |
| "idx": 1, | |
| "name": "1", | |
| "path": "1_Pooling", | |
| "type": "sentence_transformers.models.Pooling" | |
| }, | |
| { | |
| "idx": 2, | |
| "name": "2", | |
| "path": "2_Dense", | |
| "type": "sentence_transformers.models.Dense" | |
| }, | |
| { | |
| "idx": 3, | |
| "name": "3", | |
| "path": "3_Normalize", | |
| "type": "sentence_transformers.models.Normalize" | |
| } | |
| ] |