Instructions to use sid321axn/tiny-llama-text2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sid321axn/tiny-llama-text2sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("PY007/TinyLlama-1.1B-Chat-v0.3") model = PeftModel.from_pretrained(base_model, "sid321axn/tiny-llama-text2sql") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sid321axn/tiny-llama-text2sql: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/sid321axn/tiny-llama-text2sql/resolve/main/training_args.bin
- Command line
-
hf download hf://sid321axn/tiny-llama-text2sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sid321axn/tiny-llama-text2sql/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- a3507ff88699bbd5f5ba944c4ef96642d326531cc2a0e5c905562d27802c8994
- Size of remote file:
- 4.73 kB
- SHA256:
- e5c74ad57eddfd8d2ff37adc0f0d13d2e5f7feaf46dee1d90c9f45a385586216
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