Instructions to use iamdev/check-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamdev/check-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="iamdev/check-model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("iamdev/check-model") model = AutoModel.from_pretrained("iamdev/check-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b86d3e9e31d143a3372f5af8559fde64d981077ed7018592a1e17cbfc92740e
- Size of remote file:
- 433 MB
- SHA256:
- 8c94b191c749e522e869e3a3a761705c78a0fa71c0339909ef5c9cda6cdb51fa
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