Instructions to use arj9719/robertuito_topic_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arj9719/robertuito_topic_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arj9719/robertuito_topic_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("arj9719/robertuito_topic_classification") model = AutoModelForSequenceClassification.from_pretrained("arj9719/robertuito_topic_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from arj9719/robertuito_topic_classification: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/arj9719/robertuito_topic_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://arj9719/robertuito_topic_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/arj9719/robertuito_topic_classification/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 95802cae02a4c53a606204832b0fb3d427c4140ddd0c92c8e54f03a68a403cf2
- Size of remote file:
- 3.58 kB
- SHA256:
- a659d67856bdf4771eba67d9be150a68d0b14cb02fd9d76c016705ad09bddfdb
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