Text Classification
Transformers
Safetensors
English
basedecision_dyno
feature-extraction
decision-model
system-one
decision-index
multiple-choice
calibration
read-twice
custom-code
lora-merged
custom_code
Instructions to use onlyaady/BaseDecision-Dyno with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onlyaady/BaseDecision-Dyno with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="onlyaady/BaseDecision-Dyno", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("onlyaady/BaseDecision-Dyno", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from onlyaady/BaseDecision-Dyno: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/onlyaady/BaseDecision-Dyno/resolve/main/tokenizer.json
- Command line
-
hf download hf://onlyaady/BaseDecision-Dyno/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/onlyaady/BaseDecision-Dyno/resolve/main/tokenizer.json
20 MB
- Xet hash:
- e558cdad9a88d177076f9525ed4ef2d55dfd5dafafd6baac7c6105590ab49b7b
- Size of remote file:
- 20 MB
- SHA256:
- a5cd9732badce41de57e6efce8302930ded1c1188c5f81feb2bd6c24c4a1941f
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