Instructions to use HyperlinksSpace/TinyModel1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HyperlinksSpace/TinyModel1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HyperlinksSpace/TinyModel1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HyperlinksSpace/TinyModel1") model = AutoModelForSequenceClassification.from_pretrained("HyperlinksSpace/TinyModel1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a9544f923098cb314dbb2a2d7e9734f74e5c2984d9bb3e4cf3b10ce2b56704d
- Size of remote file:
- 5.36 MB
- SHA256:
- c72c53c6baa219de00d20085d5e45545442fd885761f729ba49c12c700fc7be2
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