Instructions to use Denn231/external_clf_v_0.7692 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denn231/external_clf_v_0.7692 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denn231/external_clf_v_0.7692")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denn231/external_clf_v_0.7692") model = AutoModelForSequenceClassification.from_pretrained("Denn231/external_clf_v_0.7692") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36f2b79fe4917c21712725fa35becaf5f393b9744fcd3479dd5f83ceca10ced9
- Size of remote file:
- 5.37 kB
- SHA256:
- df089a54c24014677e890e68bb4f4d07fd23c17a8df4900418ff0a7454892a6c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.