Instructions to use Drjkedwards/Recursive-Transformer-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Drjkedwards/Recursive-Transformer-Model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Drjkedwards/Recursive-Transformer-Model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Create requirements.txt
Browse files- requirements.txt +8 -0
requirements.txt
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
torch>=2.0.0
|
| 2 |
+
transformers>=4.40.0
|
| 3 |
+
sentence-transformers
|
| 4 |
+
safetensors
|
| 5 |
+
mem0-ai
|
| 6 |
+
graphiti-core
|
| 7 |
+
langchain
|
| 8 |
+
langchain-community
|