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
Download tokenizer.json from institutional/institutional-books-topic-classifier-bert: direct link, hf CLI and curl.
- Browser
- Download file 2.56 MB
-
https://huggingface.co/institutional/institutional-books-topic-classifier-bert/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://institutional/institutional-books-topic-classifier-bert@refs/pr/2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/institutional/institutional-books-topic-classifier-bert/resolve/refs%2Fpr%2F2/tokenizer.json
2.56 MB
File too large to display, you can check the raw version instead.