Instructions to use egerber1/classifier-de2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use egerber1/classifier-de2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="egerber1/classifier-de2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("egerber1/classifier-de2") model = AutoModelForSequenceClassification.from_pretrained("egerber1/classifier-de2") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
fb907a4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9604bbb1bef454773450efc3c7ca64fd12f387ef5baffccc8394aacfc56c142b
size 5649
|