Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use egerber1/classifier-de1_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use egerber1/classifier-de1_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="egerber1/classifier-de1_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("egerber1/classifier-de1_roberta") model = AutoModelForSequenceClassification.from_pretrained("egerber1/classifier-de1_roberta") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
77a2633 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:cd86983ae0d865cc131d18446eda61c1eb5f9c4002f7d74a03d0998719df7309
size 5713
|