Sentence Similarity
sentence-transformers
PyTorch
Transformers
English
t5
text-embedding
embeddings
information-retrieval
beir
text-classification
language-model
text-clustering
text-semantic-similarity
text-evaluation
prompt-retrieval
text-reranking
feature-extraction
English
Sentence Similarity
natural_questions
ms_marco
fever
hotpot_qa
mteb
Eval Results
Inference Endpoints
fix readme
Browse files
README.md
CHANGED
@@ -2524,6 +2524,9 @@ model-index:
|
|
2524 |
value: 79.35138351681047
|
2525 |
---
|
2526 |
|
|
|
|
|
|
|
2527 |
# hkunlp/instructor-xl
|
2528 |
We introduce **Instructor**👨🏫, an instruction-finetuned text embedding model that can generate text embeddings tailored to any task (e.g., classification, retrieval, clustering, text evaluation, etc.) and domains (e.g., science, finance, etc.) ***by simply providing the task instruction, without any finetuning***. Instructor👨 achieves sota on 70 diverse embedding tasks!
|
2529 |
The model is easy to use with **our customized** `sentence-transformer` library. For more details, check out [our paper](https://arxiv.org/abs/2212.09741) and [project page](https://instructor-embedding.github.io/)!
|
|
|
2524 |
value: 79.35138351681047
|
2525 |
---
|
2526 |
|
2527 |
+
# retrainai/instructor-xl
|
2528 |
+
Its a fork of the original [hkunlp/instructor-xl](https://huggingface.co/hkunlp/instructor-xl) with minimal modifications to support running it in HuggingFace inference endpoint, just use the builtin custom handler.
|
2529 |
+
|
2530 |
# hkunlp/instructor-xl
|
2531 |
We introduce **Instructor**👨🏫, an instruction-finetuned text embedding model that can generate text embeddings tailored to any task (e.g., classification, retrieval, clustering, text evaluation, etc.) and domains (e.g., science, finance, etc.) ***by simply providing the task instruction, without any finetuning***. Instructor👨 achieves sota on 70 diverse embedding tasks!
|
2532 |
The model is easy to use with **our customized** `sentence-transformer` library. For more details, check out [our paper](https://arxiv.org/abs/2212.09741) and [project page](https://instructor-embedding.github.io/)!
|