Instructions to use Shaheer001/Query-Complexity-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shaheer001/Query-Complexity-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shaheer001/Query-Complexity-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shaheer001/Query-Complexity-Classifier") model = AutoModelForSequenceClassification.from_pretrained("Shaheer001/Query-Complexity-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dedde22bb2e6c78f8b28374e3687171ae6a71fff171b8b26c221b49afd1bef1c
- Size of remote file:
- 268 MB
- SHA256:
- 1fd49084a0468b122f5f1b3064f30b5b8a59c2a7b8e97e6ec23a964dff400d95
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.