Instructions to use Ivi1819/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ivi1819/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ivi1819/output")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ivi1819/output") model = AutoModelForSequenceClassification.from_pretrained("Ivi1819/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ivi1819/output: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Ivi1819/output/resolve/main/training_args.bin
- Command line
-
hf download hf://Ivi1819/output/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ivi1819/output/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 1061fcb1825a749ee9441f11c308dd517429ca65662ceded3618b144eac12002
- Size of remote file:
- 5.3 kB
- SHA256:
- 9661cf0ea0d485cab8307805f446dab70963a60e00a2611ee218cafecaf22ced
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