Instructions to use baseten/DummyGemmaTextModelForEmbedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baseten/DummyGemmaTextModelForEmbedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="baseten/DummyGemmaTextModelForEmbedding")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("baseten/DummyGemmaTextModelForEmbedding") model = AutoModel.from_pretrained("baseten/DummyGemmaTextModelForEmbedding", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete added_tokens.json
Browse files- added_tokens.json +0 -3
added_tokens.json
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"<image_soft_token>": 262144
|
| 3 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|