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:
- 5db6ca880366cf8da04c8bd097d86802282be318b40af1f94bf046aa49e91bb2
- Size of remote file:
- 27.4 MB
- SHA256:
- 6a0aa31a588c5f24081ba4eb0827229a94d08bcf7e31ad6b7a3b93241e7d1699
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