Instructions to use wi-lab/lwm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wi-lab/lwm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="wi-lab/lwm")# Load model directly from transformers import LWM model = LWM.from_pretrained("wi-lab/lwm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Sadjad Alikhani commited on
Update config.json
Browse files- config.json +0 -1
config.json
CHANGED
|
@@ -1,6 +1,5 @@
|
|
| 1 |
{
|
| 2 |
"architectures": ["LWM"],
|
| 3 |
-
"model_type": "custom",
|
| 4 |
"hidden_size": 64,
|
| 5 |
"num_attention_heads": 12,
|
| 6 |
"num_hidden_layers": 12
|
|
|
|
| 1 |
{
|
| 2 |
"architectures": ["LWM"],
|
|
|
|
| 3 |
"hidden_size": 64,
|
| 4 |
"num_attention_heads": 12,
|
| 5 |
"num_hidden_layers": 12
|