Feature Extraction
Transformers
Safetensors
Spanish
English
toarim
sentence-similarity
stateful-embeddings
nested-learning
rag
industrial-rag
cpu-optimized
sherman-morrison
low-rank-svd
custom_code
Instructions to use ManyCamDS/ToarimEmbedder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ManyCamDS/ToarimEmbedder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ManyCamDS/ToarimEmbedder", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ManyCamDS/ToarimEmbedder", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload config.json with huggingface_hub
Browse files- config.json +12 -0
config.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"T\u00f3arimEmbeddingModel"
|
| 4 |
+
],
|
| 5 |
+
"model_type": "toarim",
|
| 6 |
+
"vocab_size": 30522,
|
| 7 |
+
"embed_dim": 768,
|
| 8 |
+
"latent_k": 128,
|
| 9 |
+
"auto_map": {
|
| 10 |
+
"AutoModel": "toarim_embedder.T\u00f3arimEmbeddingModel"
|
| 11 |
+
}
|
| 12 |
+
}
|