Instructions to use mrm8488/bert-base-german-finetuned-ler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/bert-base-german-finetuned-ler with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mrm8488/bert-base-german-finetuned-ler")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/bert-base-german-finetuned-ler") model = AutoModelForTokenClassification.from_pretrained("mrm8488/bert-base-german-finetuned-ler", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1b6e5ee1ff2e4c279add24aeba6de7dcaaaa41dd7f628fee3474b0b01bff610
- Size of remote file:
- 434 MB
- SHA256:
- 17a64b2c8794056d1c4506c8a6764a423b4762bda9cc58230bf8fbffdd578293
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