Fill-Mask
Transformers
Safetensors
pakmosaic
pakistan
multilingual
encoder
research-preview
sota-target
custom_code
Instructions to use ProximaAI/PakMosaic-Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProximaAI/PakMosaic-Small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ProximaAI/PakMosaic-Small", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("ProximaAI/PakMosaic-Small", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer/tokenizer.json from ProximaAI/PakMosaic-Small: direct link, hf CLI and curl.
- Browser
- Download file 2.88 MB
-
https://huggingface.co/ProximaAI/PakMosaic-Small/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://ProximaAI/PakMosaic-Small/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ProximaAI/PakMosaic-Small/resolve/main/tokenizer/tokenizer.json
2.88 MB
File too large to display, you can check the raw version instead.