Instructions to use RazinAleks/llama-7b-hf-LoRa-DB_SQL_class-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RazinAleks/llama-7b-hf-LoRa-DB_SQL_class-fp16 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/raid/models/llama-7b-hf") model = PeftModel.from_pretrained(base_model, "RazinAleks/llama-7b-hf-LoRa-DB_SQL_class-fp16") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from RazinAleks/llama-7b-hf-LoRa-DB_SQL_class-fp16: direct link, hf CLI and curl.
- Browser
- Download file 33.6 MB
-
https://huggingface.co/RazinAleks/llama-7b-hf-LoRa-DB_SQL_class-fp16/resolve/main/adapter_model.bin
- Command line
-
hf download hf://RazinAleks/llama-7b-hf-LoRa-DB_SQL_class-fp16/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/RazinAleks/llama-7b-hf-LoRa-DB_SQL_class-fp16/resolve/main/adapter_model.bin
33.6 MB
- Xet hash:
- 8ce89f315c65165f2621978c60ef92c79d0092fd12fb10b51711bcdca5e12f9c
- Size of remote file:
- 33.6 MB
- SHA256:
- fdc893b555ca438e02b5aaaf1c237dc23e8125a6f0db6937c02390bad0a75fb9
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