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 training_summary.json from ProximaAI/PakMosaic-Small: direct link, hf CLI and curl.
- Browser
- Download file 272 Bytes
-
https://huggingface.co/ProximaAI/PakMosaic-Small/resolve/main/training_summary.json
- Command line
-
hf download hf://ProximaAI/PakMosaic-Small/training_summary.json
-
curl -L -o training_summary.json https://huggingface.co/ProximaAI/PakMosaic-Small/resolve/main/training_summary.json
272 Bytes
| { | |
| "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 | |
| } | |