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 checkpoint-28212/optimizer.pt from pruhtopia/bert-toc-classification-95k: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/pruhtopia/bert-toc-classification-95k/resolve/main/checkpoint-28212/optimizer.pt
- Command line
-
hf download hf://pruhtopia/bert-toc-classification-95k/checkpoint-28212/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/pruhtopia/bert-toc-classification-95k/resolve/main/checkpoint-28212/optimizer.pt
1.42 GB
- Xet hash:
- 335faa7590efe9b6c665468742207005839d7bddc115a779e0a21dc4230f0762
- Size of remote file:
- 1.42 GB
- SHA256:
- fe20c55315e2c05b2a2adda99f48ac05e5ab7b664cbae04895bffb9e1cb76e8b
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