Transformers
Safetensors
English
bart
text2text-generation
natural language
SQL
text2sql
nl2sql
Eval Results (legacy)
Instructions to use SwastikM/bart-large-nl2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SwastikM/bart-large-nl2sql with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SwastikM/bart-large-nl2sql") model = AutoModelForSeq2SeqLM.from_pretrained("SwastikM/bart-large-nl2sql") - Notebooks
- Google Colab
- Kaggle
File size: 406 Bytes
2d5f1c8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"_from_model_config": true,
"bos_token_id": 0,
"decoder_start_token_id": 2,
"early_stopping": true,
"eos_token_id": 2,
"forced_bos_token_id": 0,
"forced_eos_token_id": 2,
"length_penalty": 2.0,
"max_length": 142,
"max_new_tokens": 128,
"min_length": 56,
"min_new_tokens": 5,
"no_repeat_ngram_size": 3,
"num_beams": 4,
"pad_token_id": 1,
"transformers_version": "4.39.3"
}
|