Instructions to use Tjooner/bart-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Tjooner/bart-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-large") model = PeftModel.from_pretrained(base_model, "Tjooner/bart-sql") - Notebooks
- Google Colab
- Kaggle
File size: 381 Bytes
2816401 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"auto_mapping": null,
"base_model_name_or_path": "facebook/bart-large",
"encoder_hidden_size": 1024,
"inference_mode": true,
"num_attention_heads": 16,
"num_layers": 12,
"num_transformer_submodules": 2,
"num_virtual_tokens": 20,
"peft_type": "PREFIX_TUNING",
"prefix_projection": false,
"revision": null,
"task_type": "SEQ_2_SEQ_LM",
"token_dim": 1024
} |