Instructions to use hku-nlp/instructor-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use hku-nlp/instructor-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("hku-nlp/instructor-large") 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] - Transformers
How to use hku-nlp/instructor-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hku-nlp/instructor-large") model = AutoModel.from_pretrained("hku-nlp/instructor-large") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- 2_Dense/model.safetensors +3 -0
- model.safetensors +3 -0
2_Dense/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e52d8113f24e87d80d95ec9d57a5af1c4cd4069e2bb60aff1b73085738a1aa25
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3c814ca39bdea16263e093f2c62c8ddf8cb919de30591198052890f6be83952a
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size 1339782208
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