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---
license: apache-2.0
datasets:
- spider
metrics:
- accuracy
model-index:
- name: lever-spider-codex
results:
- task:
type: code generation # Required. Example: automatic-speech-recognition
# name: {task_name} # Optional. Example: Speech Recognition
dataset:
type: spider # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
name: spider (text-to-sql) # Required. A pretty name for the dataset. Example: Common Voice (French)
# config: {dataset_config} # Optional. The name of the dataset configuration used in `load_dataset()`. Example: fr in `load_dataset("common_voice", "fr")`. See the `datasets` docs for more info: https://huggingface.co/docs/datasets/package_reference/loading_methods#datasets.load_dataset.name
# split: {dataset_split} # Optional. Example: test
# revision: {dataset_revision} # Optional. Example: 5503434ddd753f426f4b38109466949a1217c2bb
# args:
# {arg_0}: {value_0} # Optional. Additional arguments to `load_dataset()`. Example for wikipedia: language: en
# {arg_1}: {value_1} # Optional. Example for wikipedia: date: 20220301
metrics:
- type: accuracy # Required. Example: wer. Use metric id from https://hf.co/metrics
value: 81.9 # Required. Example: 20.90
# name: {metric_name} # Optional. Example: Test WER
# config: {metric_config} # Optional. The name of the metric configuration used in `load_metric()`. Example: bleurt-large-512 in `load_metric("bleurt", "bleurt-large-512")`. See the `datasets` docs for more info: https://huggingface.co/docs/datasets/v2.1.0/en/loading#load-configurations
# args:
# {arg_0}: {value_0} # Optional. The arguments passed during `Metric.compute()`. Example for `bleu`: max_order: 4
verified: false # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
---
# LEVER for Codex on Spider
Basic usage:
Load the model and tokenizer as follows:
```python
tokenizer = T5Tokenizer.from_pretrained("Yale-LILY/lever-spider-codex")
model = T5ForConditionalGeneration.from_pretrained("Yale-LILY/lever-spider-codex")
```
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