Text Classification
Transformers
Safetensors
English
bert
ag-news
topic-classification
fine-tuning
text-embeddings-inference
Instructions to use karencardiel/topic-classification-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karencardiel/topic-classification-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karencardiel/topic-classification-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karencardiel/topic-classification-bert") model = AutoModelForSequenceClassification.from_pretrained("karencardiel/topic-classification-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from karencardiel/topic-classification-bert: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/karencardiel/topic-classification-bert/resolve/main/training_args.bin
- Command line
-
hf download hf://karencardiel/topic-classification-bert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/karencardiel/topic-classification-bert/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- 2a01d5feae30e199a753a2f59ff2933163c3624a037944b2c86a38993ae917ad
- Size of remote file:
- 5.2 kB
- SHA256:
- c0f31705d0d40a4b827a9678ff7f57bda6f8728a083edaeb49900051286b8984
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