Text Classification
Laya
ONNX
Transformers
Safetensors
PyTorch
English
nirnay
banking77
intent-classification
intent-detection
calibrated-decisions
calibration
decision-model
system-one
small-language-model
edge-ai
on-device
guardrails
triage
lora
rlcd
Eval Results (legacy)
Instructions to use eulogik/nirnay-450m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use eulogik/nirnay-450m with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Transformers
How to use eulogik/nirnay-450m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eulogik/nirnay-450m")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eulogik/nirnay-450m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload phase_b.pt with huggingface_hub
Browse files- phase_b.pt +3 -0
phase_b.pt
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