Text Generation
PEFT
Safetensors
Russian
English
lora
sft
sql
agent
tool-use
postgresql
conversational
Instructions to use Ilirt/datapilot-tiny-aya-sql-sft-extra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ilirt/datapilot-tiny-aya-sql-sft-extra with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("CohereLabs/tiny-aya-global") model = PeftModel.from_pretrained(base_model, "Ilirt/datapilot-tiny-aya-sql-sft-extra") - Notebooks
- Google Colab
- Kaggle
File size: 593 Bytes
65b30a4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": "<BOS_TOKEN>",
"clean_up_tokenization_spaces": false,
"eos_token": "<|END_OF_TURN_TOKEN|>",
"extra_special_tokens": [
"<|START_RESPONSE|>",
"<|END_RESPONSE|>"
],
"is_local": false,
"legacy": true,
"local_files_only": false,
"merges_file": null,
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<PAD>",
"sp_model_kwargs": {},
"spaces_between_special_tokens": false,
"tokenizer_class": "TokenizersBackend",
"unk_token": "<UNK>",
"use_default_system_prompt": false
}
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