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feat: Added jina-embeddings-v2-base-code #301

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Jul 18, 2024
Merged

feat: Added jina-embeddings-v2-base-code #301

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62ecf56
feat: Added jina-embeddings-v2-base-code
Anush008 Jul 16, 2024
f3d6e52
fix: test embeddings for "hello world" not "Hello"
Anush008 Jul 16, 2024
fdc7cdf
Merge branch 'main' into jina-embeddings-v2-base-code
Anush008 Jul 17, 2024
054d444
docs: Updated supported models
Anush008 Jul 17, 2024
d952c71
Merge branch 'main' into jina-embeddings-v2-base-code
Anush008 Jul 18, 2024
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73 changes: 41 additions & 32 deletions docs/examples/Supported_Models.ipynb
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Expand Up @@ -54,7 +54,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 5,
"metadata": {
"ExecuteTime": {
"end_time": "2024-05-31T18:13:25.863008Z",
Expand Down Expand Up @@ -106,16 +106,16 @@
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>sentence-transformers/all-MiniLM-L6-v2</td>\n",
" <td>snowflake/snowflake-arctic-embed-xs</td>\n",
" <td>384</td>\n",
" <td>Sentence Transformer model, MiniLM-L6-v2</td>\n",
" <td>Based on all-MiniLM-L6-v2 model with only 22m ...</td>\n",
" <td>0.090</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>snowflake/snowflake-arctic-embed-xs</td>\n",
" <td>sentence-transformers/all-MiniLM-L6-v2</td>\n",
" <td>384</td>\n",
" <td>Based on all-MiniLM-L6-v2 model with only 22m ...</td>\n",
" <td>Sentence Transformer model, MiniLM-L6-v2</td>\n",
" <td>0.090</td>\n",
" </tr>\n",
" <tr>\n",
Expand Down Expand Up @@ -190,16 +190,16 @@
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>jinaai/jina-embeddings-v2-base-en</td>\n",
" <td>nomic-ai/nomic-embed-text-v1.5</td>\n",
" <td>768</td>\n",
" <td>English embedding model supporting 8192 sequen...</td>\n",
" <td>8192 context length english model</td>\n",
" <td>0.520</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>nomic-ai/nomic-embed-text-v1.5</td>\n",
" <td>jinaai/jina-embeddings-v2-base-en</td>\n",
" <td>768</td>\n",
" <td>8192 context length english model</td>\n",
" <td>English embedding model supporting 8192 sequen...</td>\n",
" <td>0.520</td>\n",
" </tr>\n",
" <tr>\n",
Expand All @@ -225,34 +225,41 @@
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>jinaai/jina-embeddings-v2-base-code</td>\n",
" <td>768</td>\n",
" <td>Source code embedding model supporting 8192 se...</td>\n",
" <td>0.640</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>sentence-transformers/paraphrase-multilingual-...</td>\n",
" <td>768</td>\n",
" <td>Sentence-transformers model for tasks like clu...</td>\n",
" <td>1.000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <th>21</th>\n",
" <td>snowflake/snowflake-arctic-embed-l</td>\n",
" <td>1024</td>\n",
" <td>Based on intfloat/e5-large-unsupervised, large...</td>\n",
" <td>1.020</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <th>22</th>\n",
" <td>thenlper/gte-large</td>\n",
" <td>1024</td>\n",
" <td>Large general text embeddings model</td>\n",
" <td>1.200</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <th>23</th>\n",
" <td>BAAI/bge-large-en-v1.5</td>\n",
" <td>1024</td>\n",
" <td>Large English model, v1.5</td>\n",
" <td>1.200</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <th>24</th>\n",
" <td>intfloat/multilingual-e5-large</td>\n",
" <td>1024</td>\n",
" <td>Multilingual model, e5-large. Recommend using ...</td>\n",
Expand All @@ -266,8 +273,8 @@
" model dim \\\n",
"0 BAAI/bge-small-en-v1.5 384 \n",
"1 BAAI/bge-small-zh-v1.5 512 \n",
"2 sentence-transformers/all-MiniLM-L6-v2 384 \n",
"3 snowflake/snowflake-arctic-embed-xs 384 \n",
"2 snowflake/snowflake-arctic-embed-xs 384 \n",
"3 sentence-transformers/all-MiniLM-L6-v2 384 \n",
"4 jinaai/jina-embeddings-v2-small-en 512 \n",
"5 BAAI/bge-small-en 384 \n",
"6 snowflake/snowflake-arctic-embed-s 384 \n",
Expand All @@ -278,22 +285,23 @@
"11 jinaai/jina-embeddings-v2-base-de 768 \n",
"12 BAAI/bge-base-en 768 \n",
"13 snowflake/snowflake-arctic-embed-m 768 \n",
"14 jinaai/jina-embeddings-v2-base-en 768 \n",
"15 nomic-ai/nomic-embed-text-v1.5 768 \n",
"14 nomic-ai/nomic-embed-text-v1.5 768 \n",
"15 jinaai/jina-embeddings-v2-base-en 768 \n",
"16 nomic-ai/nomic-embed-text-v1 768 \n",
"17 snowflake/snowflake-arctic-embed-m-long 768 \n",
"18 mixedbread-ai/mxbai-embed-large-v1 1024 \n",
"19 sentence-transformers/paraphrase-multilingual-... 768 \n",
"20 snowflake/snowflake-arctic-embed-l 1024 \n",
"21 thenlper/gte-large 1024 \n",
"22 BAAI/bge-large-en-v1.5 1024 \n",
"23 intfloat/multilingual-e5-large 1024 \n",
"19 jinaai/jina-embeddings-v2-base-code 768 \n",
"20 sentence-transformers/paraphrase-multilingual-... 768 \n",
"21 snowflake/snowflake-arctic-embed-l 1024 \n",
"22 thenlper/gte-large 1024 \n",
"23 BAAI/bge-large-en-v1.5 1024 \n",
"24 intfloat/multilingual-e5-large 1024 \n",
"\n",
" description size_in_GB \n",
"0 Fast and Default English model 0.067 \n",
"1 Fast and recommended Chinese model 0.090 \n",
"2 Sentence Transformer model, MiniLM-L6-v2 0.090 \n",
"3 Based on all-MiniLM-L6-v2 model with only 22m ... 0.090 \n",
"2 Based on all-MiniLM-L6-v2 model with only 22m ... 0.090 \n",
"3 Sentence Transformer model, MiniLM-L6-v2 0.090 \n",
"4 English embedding model supporting 8192 sequen... 0.120 \n",
"5 Fast English model 0.130 \n",
"6 Based on infloat/e5-small-unsupervised, does n... 0.130 \n",
Expand All @@ -304,19 +312,20 @@
"11 German embedding model supporting 8192 sequenc... 0.320 \n",
"12 Base English model 0.420 \n",
"13 Based on intfloat/e5-base-unsupervised model, ... 0.430 \n",
"14 English embedding model supporting 8192 sequen... 0.520 \n",
"15 8192 context length english model 0.520 \n",
"14 8192 context length english model 0.520 \n",
"15 English embedding model supporting 8192 sequen... 0.520 \n",
"16 8192 context length english model 0.520 \n",
"17 Based on nomic-ai/nomic-embed-text-v1-unsuperv... 0.540 \n",
"18 MixedBread Base sentence embedding model, does... 0.640 \n",
"19 Sentence-transformers model for tasks like clu... 1.000 \n",
"20 Based on intfloat/e5-large-unsupervised, large... 1.020 \n",
"21 Large general text embeddings model 1.200 \n",
"22 Large English model, v1.5 1.200 \n",
"23 Multilingual model, e5-large. Recommend using ... 2.240 "
"19 Source code embedding model supporting 8192 se... 0.640 \n",
"20 Sentence-transformers model for tasks like clu... 1.000 \n",
"21 Based on intfloat/e5-large-unsupervised, large... 1.020 \n",
"22 Large general text embeddings model 1.200 \n",
"23 Large English model, v1.5 1.200 \n",
"24 Multilingual model, e5-large. Recommend using ... 2.240 "
]
},
"execution_count": 3,
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
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8 changes: 8 additions & 0 deletions fastembed/text/pooled_normalized_embedding.py
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Expand Up @@ -44,6 +44,14 @@
"sources": {"hf": "jinaai/jina-embeddings-v2-base-de"},
"model_file": "onnx/model_fp16.onnx",
},
{
"model": "jinaai/jina-embeddings-v2-base-code",
"dim": 768,
"description": "Source code embedding model supporting 8192 sequence length",
"size_in_GB": 0.64,
"sources": {"hf": "jinaai/jina-embeddings-v2-base-code"},
"model_file": "onnx/model.onnx",
},
]


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3 changes: 3 additions & 0 deletions tests/test_text_onnx_embeddings.py
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Expand Up @@ -47,6 +47,9 @@
"jinaai/jina-embeddings-v2-base-de": np.array(
[-0.0085, 0.0417, 0.0342, 0.0309, -0.0149]
),
"jinaai/jina-embeddings-v2-base-code": np.array(
[0.0145, -0.0164, 0.0136, -0.0170, 0.0734]
),
"nomic-ai/nomic-embed-text-v1": np.array(
[0.3708 , 0.2031, -0.3406, -0.2114, -0.3230]
),
Expand Down
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