Instructions to use RESMP-DEV/LFM2.5-Encoder-230M-Code-BF16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RESMP-DEV/LFM2.5-Encoder-230M-Code-BF16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="RESMP-DEV/LFM2.5-Encoder-230M-Code-BF16", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("RESMP-DEV/LFM2.5-Encoder-230M-Code-BF16", trust_remote_code=True) model = AutoModel.from_pretrained("RESMP-DEV/LFM2.5-Encoder-230M-Code-BF16", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- artifact_manifest.json +3 -3
- benchmarks/nomic-v1.5-4k.json +9 -4
artifact_manifest.json
CHANGED
|
@@ -50,8 +50,8 @@
|
|
| 50 |
"sha256": "87e07135f50b78c9f6be27d5d64ddae6b284264207e38434a8b288ee6b45f83a"
|
| 51 |
},
|
| 52 |
"benchmarks/nomic-v1.5-4k.json": {
|
| 53 |
-
"bytes":
|
| 54 |
-
"sha256": "
|
| 55 |
},
|
| 56 |
"chat_template.jinja": {
|
| 57 |
"bytes": 2553,
|
|
@@ -99,5 +99,5 @@
|
|
| 99 |
}
|
| 100 |
},
|
| 101 |
"schema_version": 1,
|
| 102 |
-
"total_bytes":
|
| 103 |
}
|
|
|
|
| 50 |
"sha256": "87e07135f50b78c9f6be27d5d64ddae6b284264207e38434a8b288ee6b45f83a"
|
| 51 |
},
|
| 52 |
"benchmarks/nomic-v1.5-4k.json": {
|
| 53 |
+
"bytes": 5137,
|
| 54 |
+
"sha256": "2d2a2c94653185c43ed49698cd0ac01fbaf155bd506fc14a4865cdfb2376803d"
|
| 55 |
},
|
| 56 |
"chat_template.jinja": {
|
| 57 |
"bytes": 2553,
|
|
|
|
| 99 |
}
|
| 100 |
},
|
| 101 |
"schema_version": 1,
|
| 102 |
+
"total_bytes": 464216410
|
| 103 |
}
|
benchmarks/nomic-v1.5-4k.json
CHANGED
|
@@ -1,4 +1,9 @@
|
|
| 1 |
{
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
"corpus_sha256": "9ed10842a12132b6bfb5421df1e2f88dbcfbf6f6e960f36b22eb9ea6e3c72315",
|
| 3 |
"dimensions": 768,
|
| 4 |
"endpoint": "http://127.0.0.1:1234/v1/embeddings",
|
|
@@ -25,11 +30,11 @@
|
|
| 25 |
},
|
| 26 |
"model": "text-embedding-nomic-embed-text-v1.5",
|
| 27 |
"passage_prefix": "search_document: ",
|
| 28 |
-
"passage_seconds":
|
| 29 |
-
"passages_per_second":
|
| 30 |
-
"queries_per_second":
|
| 31 |
"query_prefix": "search_query: ",
|
| 32 |
-
"query_seconds":
|
| 33 |
"samples": 6995,
|
| 34 |
"schema_version": 1,
|
| 35 |
"send_input_type": false,
|
|
|
|
| 1 |
{
|
| 2 |
+
"checkpoint_batches_reused": {
|
| 3 |
+
"passage": 0,
|
| 4 |
+
"query": 6
|
| 5 |
+
},
|
| 6 |
+
"checkpoint_key": "6866ab2e6cc3ee045622176e71ced905784184ad00fee39bf0d41158ee86a958",
|
| 7 |
"corpus_sha256": "9ed10842a12132b6bfb5421df1e2f88dbcfbf6f6e960f36b22eb9ea6e3c72315",
|
| 8 |
"dimensions": 768,
|
| 9 |
"endpoint": "http://127.0.0.1:1234/v1/embeddings",
|
|
|
|
| 30 |
},
|
| 31 |
"model": "text-embedding-nomic-embed-text-v1.5",
|
| 32 |
"passage_prefix": "search_document: ",
|
| 33 |
+
"passage_seconds": 98.93736557476223,
|
| 34 |
+
"passages_per_second": 70.70129631371894,
|
| 35 |
+
"queries_per_second": 227.48469030126313,
|
| 36 |
"query_prefix": "search_query: ",
|
| 37 |
+
"query_seconds": 30.749322034535,
|
| 38 |
"samples": 6995,
|
| 39 |
"schema_version": 1,
|
| 40 |
"send_input_type": false,
|