Models
Datasets
Spaces
Buckets new
Docs
Enterprise
Pricing
- Website
- Community
- Solutions
Log In
Sign Up

mixamrepijey
/

instructor-models

Sentence Similarity

sentence-transformers

information-retrieval

text-classification

text-clustering

text-semantic-similarity

text-evaluation

prompt-retrieval

feature-extraction

Sentence Similarity

natural_questions

Eval Results (legacy)

Model card Files Files and versions

Instructions to use mixamrepijey/instructor-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

sentence-transformers

How to use mixamrepijey/instructor-models with sentence-transformers:

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("mixamrepijey/instructor-models")

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]

How to use mixamrepijey/instructor-models with Transformers:

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("mixamrepijey/instructor-models")
model = AutoModel.from_pretrained("mixamrepijey/instructor-models", device_map="auto")

Notebooks
Google Colab
Kaggle

instructor-models / 1_INSTRUCTOR_Pooling /config.json

Commit History

Jan 24, 2024

21:49
first

Maxim Ryakhovskiy

9294217