Text Classification
Transformers
JAX
pcmlp
feature-extraction
predictive-coding
local-loss
flax
tiny-model
custom-architecture
custom_code
Eval Results (legacy)
Instructions to use zeechimp/pc-mlp-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeechimp/pc-mlp-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zeechimp/pc-mlp-tiny", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zeechimp/pc-mlp-tiny", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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