Instructions to use hf-internal-testing/tiny-random-flaubert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-flaubert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-flaubert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-flaubert") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-flaubert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08d70d5cf36cff0c12f979883e6f9fc7e8f48521585e8cb0c294144d95e5ddd7
- Size of remote file:
- 27.3 MB
- SHA256:
- 8d189e02ee5f29803354b0d019023e75bb65c2ee07a526072ba618e88dea75f9
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