Text Classification
Transformers
TensorBoard
Safetensors
Maltese
bert
Eval Results (legacy)
text-embeddings-inference
Instructions to use MLRS/BERTu_SentiMalti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MLRS/BERTu_SentiMalti with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MLRS/BERTu_SentiMalti")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MLRS/BERTu_SentiMalti") model = AutoModelForSequenceClassification.from_pretrained("MLRS/BERTu_SentiMalti") - Notebooks
- Google Colab
- Kaggle
Gated model You can list files but not access them
Preview of files found in this repository
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- checkpoint-4785
- runs
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