Instructions to use MatyLO/distilbert-parse-message with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatyLO/distilbert-parse-message with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MatyLO/distilbert-parse-message")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MatyLO/distilbert-parse-message") model = AutoModelForTokenClassification.from_pretrained("MatyLO/distilbert-parse-message") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e1e7a182fd654b22579c676d76229a920444b41be86b3294ddac8391db125c0
- Size of remote file:
- 265 MB
- SHA256:
- 601e7aaae286f1d2e7a61a8481ad517d43c4fa1eb8335e84cb4c99c56c5079e0
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