Instructions to use pruhtopia/bert-toc-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pruhtopia/bert-toc-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pruhtopia/bert-toc-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pruhtopia/bert-toc-classification") model = AutoModelForSequenceClassification.from_pretrained("pruhtopia/bert-toc-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-6000/scheduler.pt from pruhtopia/bert-toc-classification: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/pruhtopia/bert-toc-classification/resolve/main/checkpoint-6000/scheduler.pt
- Command line
-
hf download hf://pruhtopia/bert-toc-classification/checkpoint-6000/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/pruhtopia/bert-toc-classification/resolve/main/checkpoint-6000/scheduler.pt
1.06 kB
- Xet hash:
- c140f6c80e5500acd45c7792b365dd0b37d73dfd068f7665ed35bcc937fc6f4e
- Size of remote file:
- 1.06 kB
- SHA256:
- 76f57b12b003374c71fc38620866b4630c864d7d26196f7fb1d285d7f81116c4
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