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
- Xet hash:
- f6f6d8a607fd629c834502b9eee865bf558f9bef3d8a3e05710191d7dd4d2ed5
- Size of remote file:
- 5.71 kB
- SHA256:
- cd86983ae0d865cc131d18446eda61c1eb5f9c4002f7d74a03d0998719df7309
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