Instructions to use radned/model1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use radned/model1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="radned/model1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("radned/model1") model = AutoModelForSequenceClassification.from_pretrained("radned/model1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download README from radned/model1: direct link, hf CLI and curl.
- Browser
- Download file 56 Bytes
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https://huggingface.co/radned/model1/resolve/main/README
- Command line
-
hf download hf://radned/model1/README
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curl -L -o README https://huggingface.co/radned/model1/resolve/main/README
56 Bytes
| ** This is e brand new model of everything ** |