Qdrant / Splade_PP_en_v1

huggingface.co
Total runs: 86.0K
24-hour runs: 0
7-day runs: -2.7K
30-day runs: 21.6K
Model's Last Updated: July 15 2024
sentence-similarity

Introduction of Splade_PP_en_v1

Model Details of Splade_PP_en_v1

ONNX port of prithivida/Splade_PP_en_v1 for text classification and similarity searches.

Usage

Here's an example of performing inference using the model with FastEmbed .

from fastembed import SparseTextEmbedding

documents = [
    "You should stay, study and sprint.",
    "History can only prepare us to be surprised yet again.",
]

model = SparseTextEmbedding(model_name="prithivida/Splade_PP_en_v1")
embeddings = list(model.embed(documents))

# [
#     SparseEmbedding(values=array(
#         [0.45940185, 0.64054322, 0.2425732, 0.1623179, 1.20566428,
#          0.62039357...]),
#                     indices=array([1012, 1998, 2000, 2005, 2017, 2022...])),
#     SparseEmbedding(values=array([
#         0.09767706, 0.4374367, 0.00468039, 1.01167965, 1.02318227, 1.30155718
#     ...]),
#                     indices=array([2017, 2022, 2025, 2057, 2064, 2069...]))
# ]

Runs of Qdrant Splade_PP_en_v1 on huggingface.co

86.0K
Total runs
0
24-hour runs
0
3-day runs
-2.7K
7-day runs
21.6K
30-day runs

More Information About Splade_PP_en_v1 huggingface.co Model

More Splade_PP_en_v1 license Visit here:

https://choosealicense.com/licenses/apache-2.0

Splade_PP_en_v1 huggingface.co

Splade_PP_en_v1 huggingface.co is an AI model on huggingface.co that provides Splade_PP_en_v1's model effect (), which can be used instantly with this Qdrant Splade_PP_en_v1 model. huggingface.co supports a free trial of the Splade_PP_en_v1 model, and also provides paid use of the Splade_PP_en_v1. Support call Splade_PP_en_v1 model through api, including Node.js, Python, http.

Splade_PP_en_v1 huggingface.co Url

https://huggingface.co/Qdrant/Splade_PP_en_v1

Qdrant Splade_PP_en_v1 online free

Splade_PP_en_v1 huggingface.co is an online trial and call api platform, which integrates Splade_PP_en_v1's modeling effects, including api services, and provides a free online trial of Splade_PP_en_v1, you can try Splade_PP_en_v1 online for free by clicking the link below.

Qdrant Splade_PP_en_v1 online free url in huggingface.co:

https://huggingface.co/Qdrant/Splade_PP_en_v1

Splade_PP_en_v1 install

Splade_PP_en_v1 is an open source model from GitHub that offers a free installation service, and any user can find Splade_PP_en_v1 on GitHub to install. At the same time, huggingface.co provides the effect of Splade_PP_en_v1 install, users can directly use Splade_PP_en_v1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Splade_PP_en_v1 install url in huggingface.co:

https://huggingface.co/Qdrant/Splade_PP_en_v1

Url of Splade_PP_en_v1

Splade_PP_en_v1 huggingface.co Url

Provider of Splade_PP_en_v1 huggingface.co

Qdrant
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