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 /1674208612.649148 /events.out.tfevents.1674208612.e4461f83bd0b.1840.1
- Xet hash:
- 63638180827e6a6432f2e92ca6489434fbfccb174073acfed821a88b6a1649f6
- Size of remote file:
- 5.49 kB
- SHA256:
- 982403d85b932b61a4725c8f806262aaf7a66ff168c77b6f55f7c1125d70531f
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