Instructions to use Jeska/VaccinChatSentenceClassifierDutch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeska/VaccinChatSentenceClassifierDutch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeska/VaccinChatSentenceClassifierDutch")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeska/VaccinChatSentenceClassifierDutch") model = AutoModelForSequenceClassification.from_pretrained("Jeska/VaccinChatSentenceClassifierDutch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b21b657bed5d13b6cdb34c656a4bca67e9f887110b5e79f96e540cb374c5a868
- Size of remote file:
- 437 MB
- SHA256:
- c78acd2756d21b3b65f64a74fc6749b6276319a100a7e725bdd674afb0fccf3b
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