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Author:
None
Summary:
Massive Text Embedding Benchmark
Latest version:
2.8.4
Required dependencies:
colpali_engine
|
datasets
|
numpy
|
polars
|
pydantic
|
pylate
|
pytrec-eval-terrier
|
requests
|
rich
|
sauerkrautlm-colpali
|
scikit-learn
|
scipy
|
sentence_transformers
|
torch
|
tqdm
|
transformers
|
typing-extensions
Optional dependencies:
accelerate
|
bm25s
|
cachetools
|
codecarbon
|
cohere
|
datasets
|
einops
|
faiss-cpu
|
flagembedding
|
flash-attn
|
gradio
|
gritlm
|
huggingface_hub
|
llm2vec
|
matplotlib
|
model2vec
|
msclap
|
muq
|
open_clip_torch
|
openai
|
peft
|
plotly
|
pymongo
|
pystemmer
|
qwen_vl_utils
|
salesforce-lavis
|
soundfile
|
speechbrain
|
tenacity
|
tencentcloud-sdk-python-common
|
tencentcloud-sdk-python-lkeap
|
tiktoken
|
timm
|
torch-vggish-yamnet
|
torchaudio
|
torchvision
|
transformers
|
vertexai
|
vllm
|
volcengine-python-sdk
|
voyageai
|
wav2clip
|
xformers
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