Instructions to use adasgaleus/insertbert05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adasgaleus/insertbert05 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="adasgaleus/insertbert05")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("adasgaleus/insertbert05") model = AutoModelForTokenClassification.from_pretrained("adasgaleus/insertbert05") - Notebooks
- Google Colab
- Kaggle
insertbert05 / runs /Jan20_09-56-41_e4461f83bd0b /events.out.tfevents.1674208612.e4461f83bd0b.1840.0
- Xet hash:
- ff70dd8ee18041b8a357619cb9be11ccc0581f0ce79f6e21f345524f9605a764
- Size of remote file:
- 5.96 kB
- SHA256:
- 5cc9b5c00f4edee2c4f884ab850ec6c24d8a35764dea87fa2fb748a26606fef8
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