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
| { | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": { | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "unk_token": "<unk>" | |
| } | |