Text Classification
Transformers
Safetensors
English
bert
science
scholarly
text-embeddings-inference
Instructions to use TimSchopf/nlp_survey_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TimSchopf/nlp_survey_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TimSchopf/nlp_survey_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TimSchopf/nlp_survey_classifier") model = AutoModelForSequenceClassification.from_pretrained("TimSchopf/nlp_survey_classifier") - Notebooks
- Google Colab
- Kaggle
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