Instructions to use optimum-intel-internal-testing/tiny-random-flaubert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use optimum-intel-internal-testing/tiny-random-flaubert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="optimum-intel-internal-testing/tiny-random-flaubert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("optimum-intel-internal-testing/tiny-random-flaubert") model = AutoModel.from_pretrained("optimum-intel-internal-testing/tiny-random-flaubert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e2b86fb1cffd11c4d30a5dd96e2060ca48ecc71d26d40b4df9c256954627b1e
- Size of remote file:
- 9.12 MB
- SHA256:
- 59d454224d1b827852eea31fb083b55b5a2011848ba90d5cecc5873e71c44166
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