Instructions to use sgugger/debug-example2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgugger/debug-example2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sgugger/debug-example2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sgugger/debug-example2") model = AutoModelForSequenceClassification.from_pretrained("sgugger/debug-example2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from sgugger/debug-example2: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
-
https://huggingface.co/sgugger/debug-example2/resolve/main/.gitignore
- Command line
-
hf download hf://sgugger/debug-example2/.gitignore
-
curl -L -o .gitignore https://huggingface.co/sgugger/debug-example2/resolve/main/.gitignore
13 Bytes
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