Fill-Mask
Transformers
Safetensors
Albanian
xlm-roberta
albanian
albanian-nlp
masked-language-model
social-media
social-media-nlp
informal-text
noisy-text
low-resource-nlp
domain-adaptive-pretraining
text-classification
sentiment-analysis
hate-speech-detection
dialect-detection
Instructions to use Endrit/AlbaSocialXLM-R with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Endrit/AlbaSocialXLM-R with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Endrit/AlbaSocialXLM-R")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Endrit/AlbaSocialXLM-R") model = AutoModelForMaskedLM.from_pretrained("Endrit/AlbaSocialXLM-R") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad3e6aac23a8a87f79c4164f1ce17d9d5bbbd51e8edd05bd00e3d06dd9e802a8
- Size of remote file:
- 5.07 MB
- SHA256:
- cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
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