Feature Extraction
sentence-transformers
Safetensors
Transformers
English
bert
sentence-similarity
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use avsolatorio/00-600-11-1-6-2-0-0-768-512-cm_NOI_BAAI_bge-base-en-v1.5-20240704035539-latest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use avsolatorio/00-600-11-1-6-2-0-0-768-512-cm_NOI_BAAI_bge-base-en-v1.5-20240704035539-latest with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("avsolatorio/00-600-11-1-6-2-0-0-768-512-cm_NOI_BAAI_bge-base-en-v1.5-20240704035539-latest") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Transformers
How to use avsolatorio/00-600-11-1-6-2-0-0-768-512-cm_NOI_BAAI_bge-base-en-v1.5-20240704035539-latest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="avsolatorio/00-600-11-1-6-2-0-0-768-512-cm_NOI_BAAI_bge-base-en-v1.5-20240704035539-latest")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("avsolatorio/00-600-11-1-6-2-0-0-768-512-cm_NOI_BAAI_bge-base-en-v1.5-20240704035539-latest") model = AutoModel.from_pretrained("avsolatorio/00-600-11-1-6-2-0-0-768-512-cm_NOI_BAAI_bge-base-en-v1.5-20240704035539-latest") - Notebooks
- Google Colab
- Kaggle
{"loss": 2.1978, "grad_norm": 10.932345390319824, "learning_rate": 2.124983000135999e-08, "epoch": 0.06799945600435196, "step": 500}
36bc301 verified | [ | |
| { | |
| "idx": 0, | |
| "name": "0", | |
| "path": "", | |
| "type": "sentence_transformers.models.Transformer" | |
| }, | |
| { | |
| "idx": 1, | |
| "name": "1", | |
| "path": "1_Pooling", | |
| "type": "sentence_transformers.models.Pooling" | |
| }, | |
| { | |
| "idx": 2, | |
| "name": "2", | |
| "path": "2_Pooling", | |
| "type": "sentence_transformers.models.Pooling" | |
| }, | |
| { | |
| "idx": 3, | |
| "name": "3", | |
| "path": "3_Normalize", | |
| "type": "sentence_transformers.models.Normalize" | |
| } | |
| ] |