Instructions to use varun3dec/Pbi-Summarization-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use varun3dec/Pbi-Summarization-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("varun3dec/Pbi-Summarization-model") model = AutoModelForSeq2SeqLM.from_pretrained("varun3dec/Pbi-Summarization-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from varun3dec/Pbi-Summarization-model: direct link, hf CLI and curl.
- Browser
- Download file 8.33 MB
-
https://huggingface.co/varun3dec/Pbi-Summarization-model/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://varun3dec/Pbi-Summarization-model@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/varun3dec/Pbi-Summarization-model/resolve/refs%2Fpr%2F1/tokenizer.json
8.33 MB
File too large to display, you can check the raw version instead.