Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Jeska/VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeska/VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeska/VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeska/VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog") model = AutoModelForSequenceClassification.from_pretrained("Jeska/VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Jeska/VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/Jeska/VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog/resolve/main/training_args.bin
- Command line
-
hf download hf://Jeska/VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Jeska/VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog/resolve/main/training_args.bin
2.93 kB
- Xet hash:
- e80b9fe3948d88fb12f72adbf3bd4a1095600a0c515b85aa6309f2915c3b3d86
- Size of remote file:
- 2.93 kB
- SHA256:
- 6d37eac69a09027dea35adaae4c689c87a9d88c1b9b380354a6d918d14834c9a
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