Other
Transformers
Safetensors
PEFT
English
t5
text2text-generation
text-to-sql
sqlite
encoder-decoder
codet5
codet5-plus
lora
schema-aware
spider
natural-language-to-sql
Eval Results (legacy)
text-generation-inference
Instructions to use anmol-unitmole/schema-aware-text-to-sql-codet5p-770m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anmol-unitmole/schema-aware-text-to-sql-codet5p-770m with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("anmol-unitmole/schema-aware-text-to-sql-codet5p-770m") model = AutoModelForSeq2SeqLM.from_pretrained("anmol-unitmole/schema-aware-text-to-sql-codet5p-770m", device_map="auto") - PEFT
How to use anmol-unitmole/schema-aware-text-to-sql-codet5p-770m with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 1, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 2, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.57.6" | |
| } | |