Instructions to use robo-noct/greetings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robo-noct/greetings with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="robo-noct/greetings")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("robo-noct/greetings") model = AutoModelForSequenceClassification.from_pretrained("robo-noct/greetings") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
runs/Jun30_23-40-29_r-robo-noct-autotrain-advanced-kegy3hzm-59701-y966k/events.out.tfevents.1751326832.r-robo-noct-autotrain-advanced-kegy3hzm-59701-y966k.114.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:4be9a5d099a3aa2d226fdf5428f8a3382440693ec98836cc61b1a71ebda352d3
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size 5620
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