Feature Extraction
Transformers
Safetensors
English
bert
fill-mask
splade
sparse-retrieval
information-retrieval
beir
code-search
static-query
distilled
text-embeddings-inference
Instructions to use Akshat131/splade-multi-static-pruned-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akshat131/splade-multi-static-pruned-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Akshat131/splade-multi-static-pruned-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Akshat131/splade-multi-static-pruned-v2") model = AutoModelForMaskedLM.from_pretrained("Akshat131/splade-multi-static-pruned-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,119 Bytes
e323666 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | {
"add_cross_attention": false,
"architectures": [
"BertForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": null,
"classifier_dropout": null,
"document_chunk_length": 512,
"document_pooling": "max_log1p_relu",
"dtype": "float32",
"eos_token_id": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"inference_free_query": true,
"initializer_range": 0.02,
"intermediate_size": 3072,
"is_decoder": false,
"layer_norm_eps": 1e-12,
"max_chunks_per_document": 2,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 3,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"pruned_from_checkpoint": "Akshat131/splade-multi-static-doc",
"pruned_layer_indices": [
0,
6,
11
],
"query_encoder_type": "learned_static_token_weights",
"static_query_weight_file": "static_query_weights.pt",
"tie_word_embeddings": true,
"transformers_version": "5.14.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}
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