Instructions to use AR04/Senti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AR04/Senti with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AR04/Senti")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AR04/Senti") model = AutoModelForSequenceClassification.from_pretrained("AR04/Senti", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AR04/Senti: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/AR04/Senti/resolve/main/training_args.bin
- Command line
-
hf download hf://AR04/Senti/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AR04/Senti/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- b567c2a02b8b5002e4cf0af7e657d902627ecbacd49d5a48ae42655192c96f3b
- Size of remote file:
- 5.78 kB
- SHA256:
- f7195228067cdfb8ef4cee970f6be805faac3e5ff5e72d0d1d667ce317abe4e7
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