Instructions to use greatakela/bert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use greatakela/bert-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="greatakela/bert-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("greatakela/bert-base-cased") model = AutoModelForTokenClassification.from_pretrained("greatakela/bert-base-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afda755ed1b321e3417db657804988a607744d5781e47ab3f652e2df9183c69c
- Size of remote file:
- 4.54 kB
- SHA256:
- 1e651eac9e232655c9531090951c1b460f7ab61ddb8b5b37c717508719f74535
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