Instructions to use pruhtopia/bert-toc-classification-95k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pruhtopia/bert-toc-classification-95k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pruhtopia/bert-toc-classification-95k")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pruhtopia/bert-toc-classification-95k") model = AutoModelForSequenceClassification.from_pretrained("pruhtopia/bert-toc-classification-95k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from pruhtopia/bert-toc-classification-95k: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/pruhtopia/bert-toc-classification-95k/resolve/main/training_args.bin
- Command line
-
hf download hf://pruhtopia/bert-toc-classification-95k/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pruhtopia/bert-toc-classification-95k/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 27290f3dd49c77ce09c1a58d551597afddec3797062eaf50bff0d1c6bf41c6cb
- Size of remote file:
- 4.92 kB
- SHA256:
- 35ece242e48ea882e36fb34985df0e39a5808b42f3d9a613b4d7b91d5bd40509
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