Text Generation
PEFT
Safetensors
English
falcon
search-queries
instruct-fine-tuned
search-queries-parser
zero-shot
llm
custom_code
Instructions to use EmbeddingStudio/query-parser-falcon-7b-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EmbeddingStudio/query-parser-falcon-7b-instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b-instruct") model = PeftModel.from_pretrained(base_model, "EmbeddingStudio/query-parser-falcon-7b-instruct") - Notebooks
- Google Colab
- Kaggle
Download falcon-7b-instruct-test.json from EmbeddingStudio/query-parser-falcon-7b-instruct: direct link, hf CLI and curl.
- Browser
- Download file 2.3 MB
-
https://huggingface.co/EmbeddingStudio/query-parser-falcon-7b-instruct/resolve/main/falcon-7b-instruct-test.json
- Command line
-
hf download hf://EmbeddingStudio/query-parser-falcon-7b-instruct/falcon-7b-instruct-test.json
-
curl -L -o falcon-7b-instruct-test.json https://huggingface.co/EmbeddingStudio/query-parser-falcon-7b-instruct/resolve/main/falcon-7b-instruct-test.json
2.3 MB
File too large to display, you can check the raw version instead.