Text Classification
Transformers
Safetensors
English
laya
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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("S4MPL3BI4S/Coding_Decision_Agent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 337 Bytes
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"model_input_names": [
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],
"model_max_length": 8192,
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"tokenizer_class": "PreTrainedTokenizerFast",
"unk_token": "[UNK]"
} |