Instructions to use rudrashah/sql_gemma_2M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rudrashah/sql_gemma_2M with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rudrashah/sql_gemma_2M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 401 Bytes
490cb62 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"module": "keras_nlp.src.models.gemma.gemma_tokenizer",
"class_name": "GemmaTokenizer",
"config": {
"name": "gemma_tokenizer",
"trainable": true,
"dtype": "int32",
"proto": null,
"sequence_length": null
},
"registered_name": "keras_nlp>GemmaTokenizer",
"assets": [
"assets/tokenizer/vocabulary.spm"
],
"weights": null
} |