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Get a model
To retrieve information about a model, you can:
Get a model by ID
You can retrieve model information using the model_id
.
For information about user access for this API, see Model access control considerations.
Path and HTTP methods
GET /_plugins/_ml/models/<model-id>
Example request
GET /_plugins/_ml/models/N8AE1osB0jLkkocYjz7D
Example response
{
"name" : "all-MiniLM-L6-v2_onnx",
"algorithm" : "TEXT_EMBEDDING",
"version" : "1",
"model_format" : "TORCH_SCRIPT",
"model_state" : "LOADED",
"model_content_size_in_bytes" : 83408741,
"model_content_hash_value" : "9376c2ebd7c83f99ec2526323786c348d2382e6d86576f750c89ea544d6bbb14",
"model_config" : {
"model_type" : "bert",
"embedding_dimension" : 384,
"framework_type" : "SENTENCE_TRANSFORMERS",
"all_config" : """{"_name_or_path":"nreimers/MiniLM-L6-H384-uncased","architectures":["BertModel"],"attention_probs_dropout_prob":0.1,"gradient_checkpointing":false,"hidden_act":"gelu","hidden_dropout_prob":0.1,"hidden_size":384,"initializer_range":0.02,"intermediate_size":1536,"layer_norm_eps":1e-12,"max_position_embeddings":512,"model_type":"bert","num_attention_heads":12,"num_hidden_layers":6,"pad_token_id":0,"position_embedding_type":"absolute","transformers_version":"4.8.2","type_vocab_size":2,"use_cache":true,"vocab_size":30522}"""
},
"created_time" : 1665961344044,
"last_uploaded_time" : 1665961373000,
"last_loaded_time" : 1665961815959,
"total_chunks" : 9
}
Search for a model
Use this command to search for models you’ve already created.
The response will contain only those model versions to which you have access. For example, if you send a match all query, model versions for the following model group types will be returned:
- All public model groups in the index.
- Private model groups for which you are the model owner.
- Model groups that share at least one backend role with your backend roles.
For more information, see Model access control.
Path and HTTP methods
GET /_plugins/_ml/models/_search
POST /_plugins/_ml/models/_search
Example request: Searching for all models
POST /_plugins/_ml/models/_search
{
"query": {
"match_all": {}
},
"size": 1000
}
Example request: Searching for models with algorithm “FIT_RCF”
POST /_plugins/_ml/models/_search
{
"query": {
"term": {
"algorithm": {
"value": "FIT_RCF"
}
}
}
}
Example: Excluding model chunks
GET /_plugins/_ml/models/_search
{
"query": {
"bool": {
"must_not": {
"exists": {
"field": "chunk_number"
}
}
}
},
"sort": [
{
"created_time": {
"order": "desc"
}
}
]
}
Example: Searching for all model chunks
The following query searches for all chunks of the model with the ID 979y9YwBjWKCe6KgNGTm
and sorts the chunks in ascending order:
GET /_plugins/_ml/models/_search
{
"query": {
"bool": {
"filter": [
{
"term": {
"model_id": "9r9w9YwBjWKCe6KgyGST"
}
}
]
}
},
"sort": [
{
"chunk_number": {
"order": "asc"
}
}
]
}
Example: Searching for a model by description
GET _plugins/_ml/models/_search
{
"query": {
"bool": {
"should": [
{
"match": {
"description": "sentence transformer"
}
}
],
"must_not": {
"exists": {
"field": "chunk_number"
}
}
}
},
"size": 1000
}
Example response
{
"took" : 8,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 2,
"relation" : "eq"
},
"max_score" : 2.4159138,
"hits" : [
{
"_index" : ".plugins-ml-model",
"_id" : "-QkKJX8BvytMh9aUeuLD",
"_version" : 1,
"_seq_no" : 12,
"_primary_term" : 15,
"_score" : 2.4159138,
"_source" : {
"name" : "FIT_RCF",
"version" : 1,
"content" : "xxx",
"algorithm" : "FIT_RCF"
}
},
{
"_index" : ".plugins-ml-model",
"_id" : "OxkvHn8BNJ65KnIpck8x",
"_version" : 1,
"_seq_no" : 2,
"_primary_term" : 8,
"_score" : 2.4159138,
"_source" : {
"name" : "FIT_RCF",
"version" : 1,
"content" : "xxx",
"algorithm" : "FIT_RCF"
}
}
]
}
}