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
File size: 171 Bytes
ba2fc8c | 1 2 3 4 5 6 7 8 9 | {
"_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"
}
|