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:
- c7d37f11614b9b1b365e91de00dd71798160dcc993c13a614dcf7528552be5c9
- Size of remote file:
- 1.11 GB
- SHA256:
- 763c23d7dbf508d89cf5dfaf72a1cadb5ac571fb854732b12cc15372a4aa97c6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.