Instructions to use RashidNLP/German-Text-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RashidNLP/German-Text-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RashidNLP/German-Text-Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RashidNLP/German-Text-Classification") model = AutoModelForSequenceClassification.from_pretrained("RashidNLP/German-Text-Classification") - Notebooks
- Google Colab
- Kaggle
Commit ·
b261030
1
Parent(s): 9ea8aeb
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (a1a0fbf1cf9b5e97debabe1ba5563244789b7cf6)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:18164ca20f8bc930e449586e427e6388d9e95e7bbe32d8442a2152474a320d18
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size 1112221520
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