Text Classification
Transformers
Safetensors
PyTorch
English
pldrllm
sentiment-analysis
sentiment-classification
large-language-model
power-law-decoder-representations
power-law-graph-attention
pldr-llm
kv-cache
g-cache
kvg-cache
custom_code
Eval Results (legacy)
Instructions to use fromthesky/PLDR-LLM-v52-81M-FT-SC-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fromthesky/PLDR-LLM-v52-81M-FT-SC-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fromthesky/PLDR-LLM-v52-81M-FT-SC-1", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("fromthesky/PLDR-LLM-v52-81M-FT-SC-1", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K