Instructions to use blmppes/my-first-tutorial-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blmppes/my-first-tutorial-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="blmppes/my-first-tutorial-model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("blmppes/my-first-tutorial-model") model = AutoModel.from_pretrained("blmppes/my-first-tutorial-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 259a38350c1ecffc83417cdd2a4316e1166faa6d26f9752d21d9979624c2c50e
- Size of remote file:
- 433 MB
- SHA256:
- 94908f055f78ac319b4de3c8855c21008b25707bd8d0627643927504b8927765
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