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")# 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") - Notebooks
- Google Colab
- Kaggle
Training Data
#1
by stefan-it - opened
Hi @MatteoCargnelutti and team,
many thanks for releasing these great new ressources in the institutional books project!
I would be interested in the training, development (if available) and test data, because I would like to test my previously pretrained historical multilingual LMs like hmBERT or hmELECTRA (more information here) on it.
So I would like to ask if it's possible to get access to data π
Many thanks in advance and best,
Stefan