Text Classification
Transformers
Safetensors
qwen3_5_text
feature-extraction
system-one
typed-decisions
decision-model
calibration
probabilistic-classification
african-languages
nigerian-languages
qwen3.5
Eval Results
Instructions to use olaverse/PurpleMIST-Flash-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use olaverse/PurpleMIST-Flash-1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="olaverse/PurpleMIST-Flash-1.0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("olaverse/PurpleMIST-Flash-1.0") model = AutoModel.from_pretrained("olaverse/PurpleMIST-Flash-1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/heldout_sets.png from olaverse/PurpleMIST-Flash-1.0: direct link, hf CLI and curl.
- Browser
- Download file 50.5 kB
-
https://huggingface.co/olaverse/PurpleMIST-Flash-1.0/resolve/main/assets/heldout_sets.png
- Command line
-
hf download hf://olaverse/PurpleMIST-Flash-1.0/assets/heldout_sets.png
-
curl -L -o heldout_sets.png https://huggingface.co/olaverse/PurpleMIST-Flash-1.0/resolve/main/assets/heldout_sets.png
50.5 kB
