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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7be1de535539804878962f0fa74cea991dca661d32d3510f050af931597193c1
- Size of remote file:
- 5.37 kB
- SHA256:
- b323d1604ae769238a7385f76a3cba7fb8878c1b47743154414c934041eb6343
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