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")
https://huggingface.co/baseten/DummyGemmaTextModelForEmbedding/resolve/main/tokenizer_config.json
hf download hf://baseten/DummyGemmaTextModelForEmbedding/tokenizer_config.json
curl -L -o tokenizer_config.json https://huggingface.co/baseten/DummyGemmaTextModelForEmbedding/resolve/main/tokenizer_config.json
