Text Classification
Transformers
Safetensors
Laya
English
modernbert
rlcd
code-review
tool-calling
llm-routing
calibrated-decisions
Instructions to use S4MPL3BI4S/Coding_Decision_Agent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use S4MPL3BI4S/Coding_Decision_Agent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="S4MPL3BI4S/Coding_Decision_Agent")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("S4MPL3BI4S/Coding_Decision_Agent", device_map="auto") - Laya
How to use S4MPL3BI4S/Coding_Decision_Agent 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
- Notebooks
- Google Colab
- Kaggle
Download model.safetensors from S4MPL3BI4S/Coding_Decision_Agent: direct link, hf CLI and curl.
- Browser
- Download file 843 MB
-
https://huggingface.co/S4MPL3BI4S/Coding_Decision_Agent/resolve/main/model.safetensors
- Command line
-
hf download hf://S4MPL3BI4S/Coding_Decision_Agent/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/S4MPL3BI4S/Coding_Decision_Agent/resolve/main/model.safetensors
843 MB
- Xet hash:
- 94b4dc5994b060d2fe6e194580fe9efd5b1b6c72ec491c38733205e57e48b8be
- Size of remote file:
- 843 MB
- SHA256:
- e316f15e1be381aee51ebfd5b9ccb1987395a20c31c103a42053e0f97c72810a
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