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)# pip install -U transformers accelerate # 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
File size: 272 Bytes
9ae456b | 1 2 3 4 5 6 7 8 9 10 11 | {
"step": 2904769,
"tokens_seen": 2000000068,
"token_budget": 2000000000,
"last_loss": 3.107429265975952,
"last_masked_accuracy": 0.4583333432674408,
"mean_loss_last_500": 1.9579948586970568,
"mean_masked_accuracy_last_500": 0.6402293934822082,
"n": 500
}
|