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:
- 3168d9455d049a3d81c77c0b9e49fbe027833106fd21c5432586f0fb25e944dd
- Size of remote file:
- 2.86 kB
- SHA256:
- 02d289bbed4ef431a584dbada9ab27b029c98d1f658d07988e6b5af919f596e0
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