Instructions to use Herb-Lab/LLM_housing_livability with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Herb-Lab/LLM_housing_livability with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Herb-Lab/LLM_housing_livability")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Herb-Lab/LLM_housing_livability") model = AutoModelForSequenceClassification.from_pretrained("Herb-Lab/LLM_housing_livability", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
7ef001b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e1292ee87a0e650308176fb0fa4865ef1fbc16bd8efaa4e820c87672c07e4cd7
size 1629551961
|