Instructions to use lysandre/test-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lysandre/test-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lysandre/test-3")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lysandre/test-3") model = AutoModel.from_pretrained("lysandre/test-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4f6a25b220ea668356c2041657850bf21f962490016787a8117eda2a1c32096
- Size of remote file:
- 361 kB
- SHA256:
- 71faa4ca9a571bb28c19c0094138b3a957a6ba753d910755dc9c916dd73207cf
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