Text Classification
Transformers
PyTorch
Safetensors
German
bert
deepset/gbert-large
text-embeddings-inference
Instructions to use aari1995/German_Sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aari1995/German_Sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aari1995/German_Sentiment")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aari1995/German_Sentiment") model = AutoModelForSequenceClassification.from_pretrained("aari1995/German_Sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
f429300 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:cd6455298f7f91f4d1a1c764842dc03d8258e83b35c0e91384f769875359b875
size 1343094389
|