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/encoder_model.onnx from tarekziade/Control_Token_Joint: direct link, hf CLI and curl.
- Browser
- Download file 328 MB
-
https://huggingface.co/tarekziade/Control_Token_Joint/resolve/main/onnx/encoder_model.onnx
- Command line
-
hf download hf://tarekziade/Control_Token_Joint/onnx/encoder_model.onnx
-
curl -L -o encoder_model.onnx https://huggingface.co/tarekziade/Control_Token_Joint/resolve/main/onnx/encoder_model.onnx
328 MB
- Xet hash:
- 19da2ee8d7f9abd184d6313b3111f31f29e9b345e3435a0903e3a2796d2d7aaf
- Size of remote file:
- 328 MB
- SHA256:
- bfd72b007d5d0d0fbe1c5159cc621399b4ec62af3467ae3f25d60a7264426da1
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