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
| bitsandbytes==0.41.0 | |
| datasets==2.16.1 | |
| nltk==3.8.1 | |
| huggingface-hub==0.19.4 | |
| peft==0.5.0 | |
| torch==2.0.0+cu117 | |
| torchmetrics==1.2.0 | |
| torchsummary==1.5.1 | |
| torchtext==0.15.0+cpu | |
| transformers==4.36.2 | |
| trl==0.7.7 | |