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:
- cb9e63cd8f73a463676c9ed37e5302350255d94d9dbb35a2c67c4c740f88034c
- Size of remote file:
- 3.52 kB
- SHA256:
- 7b443be2b2625e6a532c33565131cecac190a800b350bc4322e48278451bbc62
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