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
Add Github link and remove irrelevant widget
#2
by nielsr HF Staff - opened
This PR adds a link to the Github repository, enabling people to find the code easier.
This PR also removes the now irrelevant widget section from the YAML metadata, cleaning up the model card.
Thanks @nielsr !
MatteoCargnelutti changed pull request status to merged