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:
# pip install -U transformers accelerate # 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
Download tokenizer.json from anmol-unitmole/schema-aware-text-to-sql-codet5p-770m: direct link, hf CLI and curl.
- Browser
- Download file 2.29 MB
-
https://huggingface.co/anmol-unitmole/schema-aware-text-to-sql-codet5p-770m/resolve/main/tokenizer.json
- Command line
-
hf download hf://anmol-unitmole/schema-aware-text-to-sql-codet5p-770m/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/anmol-unitmole/schema-aware-text-to-sql-codet5p-770m/resolve/main/tokenizer.json
2.29 MB
File too large to display, you can check the raw version instead.