Instructions to use Iftisyed/my_roberta_pakner_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Iftisyed/my_roberta_pakner_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Iftisyed/my_roberta_pakner_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Iftisyed/my_roberta_pakner_model") model = AutoModelForTokenClassification.from_pretrained("Iftisyed/my_roberta_pakner_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f328b2f23456e208f23ebc8bad5433e54ff72898247a80618ba6bec372b6ff1
- Size of remote file:
- 496 MB
- SHA256:
- fae41dbc4d0d692f0212f2926f26106f0f8904b0b0d1d9c514f7f7af173313c9
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