Instructions to use Matthijsvanhof/4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matthijsvanhof/4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Matthijsvanhof/4")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Matthijsvanhof/4") model = AutoModelForTokenClassification.from_pretrained("Matthijsvanhof/4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cf0bb7a06532565ca4021594b7e57dd49cc02cee94b6d79b158b74286dcf51e
- Size of remote file:
- 434 MB
- SHA256:
- a4fd214e981ae096ef924df4fa5b0b3fac45599caf58b62af954ed57cfe4486d
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