Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
Hungarian
bert
Eval Results (legacy)
text-embeddings-inference
Instructions to use uvegesistvan/huBERTPlain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uvegesistvan/huBERTPlain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="uvegesistvan/huBERTPlain")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("uvegesistvan/huBERTPlain") model = AutoModelForSequenceClassification.from_pretrained("uvegesistvan/huBERTPlain") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86ee36e60b8f9eb0e99f8491fb28e827e9ed39f35fcc890dc1a7a70485150616
- Size of remote file:
- 443 MB
- SHA256:
- 4e64d6c0a3d14733f85c84bff90eb38a0a95f96a1b33fc08d2dcb15a7b4d1c50
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