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
Download tokenizer_config.json from Ilirt/datapilot-tiny-aya-sql-sft-extra: direct link, hf CLI and curl.
- Browser
- Download file 593 Bytes
-
https://huggingface.co/Ilirt/datapilot-tiny-aya-sql-sft-extra/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Ilirt/datapilot-tiny-aya-sql-sft-extra/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Ilirt/datapilot-tiny-aya-sql-sft-extra/resolve/main/tokenizer_config.json
593 Bytes
| { | |
| "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 | |
| } | |