Instructions to use itshiroto/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itshiroto/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="itshiroto/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("itshiroto/results") model = AutoModelForSequenceClassification.from_pretrained("itshiroto/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from itshiroto/results: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/itshiroto/results/resolve/main/training_args.bin
- Command line
-
hf download hf://itshiroto/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/itshiroto/results/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 326c06d099d0f18a20091fc41938626cf7fb32699beaba7dc2013400a209d737
- Size of remote file:
- 5.18 kB
- SHA256:
- 2436ad056bb2cce33841bcce85ec2fbe5680d82faa3cde6c87bc2907f5e2fdfd
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