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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SwastikM/bart-large-nl2sql") model = AutoModelForSeq2SeqLM.from_pretrained("SwastikM/bart-large-nl2sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from SwastikM/bart-large-nl2sql: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/SwastikM/bart-large-nl2sql/resolve/main/model.safetensors
- Command line
-
hf download hf://SwastikM/bart-large-nl2sql/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/SwastikM/bart-large-nl2sql/resolve/main/model.safetensors
1.63 GB
- Xet hash:
- b0ef5e07ada9b51cf528abc0b1a71392915d3d7aa4d734c0d4a289445b9c9310
- Size of remote file:
- 1.63 GB
- SHA256:
- 95da627d33abca06d69ce2efc6ad2712397f41efd037385f8f67909df87d3d47
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