Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use yemen2016/danskbert_NCS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yemen2016/danskbert_NCS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yemen2016/danskbert_NCS")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yemen2016/danskbert_NCS") model = AutoModelForSequenceClassification.from_pretrained("yemen2016/danskbert_NCS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16698db5b49794b57890b4adaecfda689ead807e2098b05a1f573f5896370239
- Size of remote file:
- 5.24 kB
- SHA256:
- c792ae220b3ac9455b245e50970d0595dadb7a4bf1639c327d17c0ccf9e2765e
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