Feature Extraction
sentence-transformers
Safetensors
French
camembert
sparse-encoder
sparse
splade
Generated from Trainer
dataset_size:483497
loss:SpladeLoss
loss:SparseMarginMSELoss
loss:FlopsLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use sparse-encoder/splade-camembert-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sparse-encoder/splade-camembert-base-v2 with sentence-transformers:
from sentence_transformers import SparseEncoder model = SparseEncoder("sparse-encoder/splade-camembert-base-v2") queries = ["Which planet is known as the Red Planet?"] documents = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", ] query_embeddings = model.encode_query(queries) document_embeddings = model.encode_document(documents) similarities = model.similarity(query_embeddings, document_embeddings) print(similarities) - Notebooks
- Google Colab
- Kaggle
Add new SparseEncoder model
Browse files- 1_SpladePooling/config.json +5 -0
- README.md +0 -0
- config.json +27 -0
- config_sentence_transformers.json +14 -0
- model.safetensors +3 -0
- modules.json +14 -0
- sentence_bert_config.json +4 -0
- special_tokens_map.json +20 -0
- tokenizer.json +0 -0
- tokenizer_config.json +84 -0
1_SpladePooling/config.json
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{
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"pooling_strategy": "max",
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"activation_function": "relu",
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"word_embedding_dimension": 32005
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}
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README.md
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config.json
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{
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"architectures": [
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"CamembertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 5,
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"classifier_dropout": null,
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"eos_token_id": 6,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "camembert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.53.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 32005
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}
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config_sentence_transformers.json
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{
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"model_type": "SparseEncoder",
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"__version__": {
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"sentence_transformers": "5.1.0.dev0",
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"transformers": "4.53.1",
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"pytorch": "2.7.1+cu126"
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},
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"prompts": {
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"query": "",
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"document": ""
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},
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"default_prompt_name": null,
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"similarity_fn_name": "dot"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:aef2cd382cb34fcc069a15957e39819bc3c674294908baf77b53cab5fb8cb58a
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size 442646188
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modules.json
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[
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{
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"idx": 0,
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"name": "0",
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"path": "",
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"type": "sentence_transformers.sparse_encoder.models.MLMTransformer"
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},
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{
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"idx": 1,
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"name": "1",
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"path": "1_SpladePooling",
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"type": "sentence_transformers.sparse_encoder.models.SpladePooling"
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}
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]
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sentence_bert_config.json
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{
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"max_seq_length": 512,
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"do_lower_case": false
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}
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<s>NOTUSED",
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"</s>NOTUSED",
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"<unk>NOTUSED"
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],
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<s>NOTUSED",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>NOTUSED",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"4": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"5": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"6": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"32004": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"32005": {
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"content": "<unk>NOTUSED",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [
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"<s>NOTUSED",
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"</s>NOTUSED",
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"<unk>NOTUSED"
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],
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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| 75 |
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"cls_token": "<s>",
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| 76 |
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"eos_token": "</s>",
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| 77 |
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"extra_special_tokens": {},
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| 78 |
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"mask_token": "<mask>",
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| 79 |
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"model_max_length": 512,
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| 80 |
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "CamembertTokenizer",
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"unk_token": "<unk>"
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}
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