Instructions to use BAAI/llm-embedder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/llm-embedder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BAAI/llm-embedder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BAAI/llm-embedder") model = AutoModel.from_pretrained("BAAI/llm-embedder") - Inference
- Notebooks
- Google Colab
- Kaggle
Add exported onnx model 'model_O4.onnx'
#23
by Narsil - opened
- onnx/model_O4.onnx +3 -0
onnx/model_O4.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:29e4ff0788e34ec4a16d9926351e9bbc032a29f2899514a81b2b6288f200ca5c
|
| 3 |
+
size 217937768
|