Instructions to use saloni9700/bart-sbert-faiss-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saloni9700/bart-sbert-faiss-summarizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("saloni9700/bart-sbert-faiss-summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("saloni9700/bart-sbert-faiss-summarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download gitattributes from saloni9700/bart-sbert-faiss-summarizer: direct link, hf CLI and curl.
- Browser
- Download file 133 Bytes
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https://huggingface.co/saloni9700/bart-sbert-faiss-summarizer/resolve/main/gitattributes
- Command line
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hf download hf://saloni9700/bart-sbert-faiss-summarizer/gitattributes
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curl -L -o gitattributes https://huggingface.co/saloni9700/bart-sbert-faiss-summarizer/resolve/main/gitattributes
133 Bytes
| *.bin filter=lfs diff=lfs merge=lfs -text | |
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |
| *.pt filter=lfs diff=lfs merge=lfs -text | |