Text Classification
Transformers
Safetensors
English
bert
arxiv
scientific-text-classification
scibert
streamlit-demo
text-embeddings-inference
Instructions to use Ian-Khalzov/article-topic-service-scibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ian-Khalzov/article-topic-service-scibert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ian-Khalzov/article-topic-service-scibert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ian-Khalzov/article-topic-service-scibert") model = AutoModelForSequenceClassification.from_pretrained("Ian-Khalzov/article-topic-service-scibert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f8c8b4a94d7c254a1b34feeeddbfc3d9804f2b49fbe16beac1f94f5999b4840
- Size of remote file:
- 5.27 kB
- SHA256:
- e9ea637bcad0c6445dbfe1a0110faae0f86e61c5a830e59ef2821d192ab5ae31
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