Instructions to use bdoohan-goog/dummy-model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bdoohan-goog/dummy-model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bdoohan-goog/dummy-model2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bdoohan-goog/dummy-model2") model = AutoModelForSequenceClassification.from_pretrained("bdoohan-goog/dummy-model2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from bdoohan-goog/dummy-model2: direct link, hf CLI and curl.
- Browser
- Download file 103 Bytes
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https://huggingface.co/bdoohan-goog/dummy-model2/resolve/main/README.md
- Command line
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hf download hf://bdoohan-goog/dummy-model2/README.md
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curl -L -o README.md https://huggingface.co/bdoohan-goog/dummy-model2/resolve/main/README.md
103 Bytes
| language: fr | |
| license: mit | |
| datasets: | |
| - oscar | |
| ## How to use this model | |
| Load files | |
| Run commands | |