Instructions to use pranaydeeps/lettuce_pos_de_mono with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pranaydeeps/lettuce_pos_de_mono with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pranaydeeps/lettuce_pos_de_mono")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pranaydeeps/lettuce_pos_de_mono") model = AutoModelForTokenClassification.from_pretrained("pranaydeeps/lettuce_pos_de_mono", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cb172c28331ce18a1a79d925dbbd23451bb151e42c87f82b3da9f1e226af28b
- Size of remote file:
- 438 MB
- SHA256:
- 6c56e41223a9c0bf47efb09c096f4589a5af4ea4a1e4549dea5919e47dce0c69
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