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
- Xet hash:
- c9acb54d5894b2b9f8a69985c6d95577245f0901fb26ba0460bab39c1793eebc
- Size of remote file:
- 4.73 kB
- SHA256:
- 1d4b7809d6f0787facba1d8cc814ed3c1b9c36ae71c73a0ae23a7cb38b37a013
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