Text Classification
Transformers
Safetensors
PyTorch
English
bert
intent-classification
topic-classification
sentiment-classification
emotion-classification
encoder
dl26
text-embeddings-inference
Instructions to use Dl26/Veyra-50M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dl26/Veyra-50M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Dl26/Veyra-50M")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Dl26/Veyra-50M") model = AutoModelForSequenceClassification.from_pretrained("Dl26/Veyra-50M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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year = {2026},
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url = {https://huggingface.co/Dl26/Veyra-50M}
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}
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```
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year = {2026},
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url = {https://huggingface.co/Dl26/Veyra-50M}
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}
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```
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