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
Fix model card pipeline metadata
Browse files
README.md
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
---
|
| 2 |
license: bsd-3-clause
|
| 3 |
library_name: transformers
|
| 4 |
-
pipeline_tag:
|
| 5 |
base_model: Salesforce/codet5p-770m
|
| 6 |
language:
|
| 7 |
- en
|
|
|
|
| 1 |
---
|
| 2 |
license: bsd-3-clause
|
| 3 |
library_name: transformers
|
| 4 |
+
pipeline_tag: other
|
| 5 |
base_model: Salesforce/codet5p-770m
|
| 6 |
language:
|
| 7 |
- en
|