Instructions to use funmidab/mbeukman-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use funmidab/mbeukman-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="funmidab/mbeukman-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("funmidab/mbeukman-finetuned") model = AutoModelForTokenClassification.from_pretrained("funmidab/mbeukman-finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93388efe82d82cfcc0423fa3e03f04c96ae13a2069167e4e6f1733d061530b22
- Size of remote file:
- 5.3 kB
- SHA256:
- 5b759e4ccd7165bb5f795f4d6242f426b919f5cce8687c75f4ed30f28054a48b
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