Instructions to use psssd-cat/Halo4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use psssd-cat/Halo4B with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("Qwen/Qwen3-4B-Base") model = PeftModel.from_pretrained(base_model, "psssd-cat/Halo4B") - Transformers
How to use psssd-cat/Halo4B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("psssd-cat/Halo4B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc6250ad6c49a6a2578c1a002ccf4e4a43316af37b7bdb4a9fa539d82dfe127c
- Size of remote file:
- 1.06 GB
- SHA256:
- 69cfa15076ea40ff758abde3ed332f2637d586bdf2764751a4da9e07b4179314
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