Instructions to use tarekziade/Control_Token_Joint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tarekziade/Control_Token_Joint with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tarekziade/Control_Token_Joint") model = AutoModelForSeq2SeqLM.from_pretrained("tarekziade/Control_Token_Joint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/decoder_model_merged_quantized.onnx from tarekziade/Control_Token_Joint: direct link, hf CLI and curl.
- Browser
- Download file 97.8 MB
-
https://huggingface.co/tarekziade/Control_Token_Joint/resolve/main/onnx/decoder_model_merged_quantized.onnx
- Command line
-
hf download hf://tarekziade/Control_Token_Joint/onnx/decoder_model_merged_quantized.onnx
-
curl -L -o decoder_model_merged_quantized.onnx https://huggingface.co/tarekziade/Control_Token_Joint/resolve/main/onnx/decoder_model_merged_quantized.onnx
97.8 MB
- Xet hash:
- ac75f87a5bff0e043c0fc7d79d337f02328e6cabde4027aaa144a1e01e9552c8
- Size of remote file:
- 97.8 MB
- SHA256:
- 3e87ef84e78c3bceeb10850225ab25a1805ce89a876dd1c4225e26c35ce74d84
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