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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Endrit/AlbaSocialXLM-R") model = AutoModelForMaskedLM.from_pretrained("Endrit/AlbaSocialXLM-R", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Endrit/AlbaSocialXLM-R: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Endrit/AlbaSocialXLM-R/resolve/main/tokenizer.json
- Command line
-
hf download hf://Endrit/AlbaSocialXLM-R/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Endrit/AlbaSocialXLM-R/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- fd0f2593d04f14d233dd5fe260692893242dc61733f57071b27d1caeff349ea9
- Size of remote file:
- 17.1 MB
- SHA256:
- d0091a328b3441d754e481db5a390d7f3b8dabc6016869fd13ba350d23ddc4cd
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