Instructions to use Amna100/fold_13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amna100/fold_13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Amna100/fold_13")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Amna100/fold_13") model = AutoModelForTokenClassification.from_pretrained("Amna100/fold_13") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e05a3beebfb0aabcedea73f29a8804ef019c681ae2d9b43772bff1e93f07a77
- Size of remote file:
- 5.18 kB
- SHA256:
- d7c8c31a75e662480efc281c71e96048aa73aa9f93e4f66c777a19eb01e12a8d
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