Text Classification
Transformers
PyTorch
Safetensors
English
hydra-bitnet
bitnet
Mixture of Experts
mixture-of-experts
1-bit
quantized
compression
security
m2m-protocol
Instructions to use icxcn/m2m-hydra-bitnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use icxcn/m2m-hydra-bitnet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="icxcn/m2m-hydra-bitnet")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("icxcn/m2m-hydra-bitnet", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K