Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use institutional/institutional-books-topic-classifier-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use institutional/institutional-books-topic-classifier-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="institutional/institutional-books-topic-classifier-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("institutional/institutional-books-topic-classifier-bert") model = AutoModelForSequenceClassification.from_pretrained("institutional/institutional-books-topic-classifier-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -11,7 +11,7 @@ license: apache-2.0
|
|
| 11 |
|
| 12 |
# 📚 Institutional Books Topic Classifier
|
| 13 |
|
| 14 |
-
This model was trained as part of the analysis and refinements performed in preparation
|
| 15 |
|
| 16 |
We used this text classifier to assign a topic, derived from the first level of the [Library of Congress' Classification Outline](https://www.loc.gov/catdir/cpso/lcco/), to individual volumes.
|
| 17 |
|
|
|
|
| 11 |
|
| 12 |
# 📚 Institutional Books Topic Classifier
|
| 13 |
|
| 14 |
+
This model was trained as part of the analysis and refinements performed in preparation for the release of the [Institutional Books 1.0 dataset](https://huggingface.co/collections/instdin/institutional-books-68366258bfb38364238477cf).
|
| 15 |
|
| 16 |
We used this text classifier to assign a topic, derived from the first level of the [Library of Congress' Classification Outline](https://www.loc.gov/catdir/cpso/lcco/), to individual volumes.
|
| 17 |
|