Instructions to use ShaeNaZar/YsdaSummarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShaeNaZar/YsdaSummarizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ShaeNaZar/YsdaSummarizer") model = AutoModelForSeq2SeqLM.from_pretrained("ShaeNaZar/YsdaSummarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from ShaeNaZar/YsdaSummarizer: direct link, hf CLI and curl.
- Browser
- Download file 142 Bytes
-
https://huggingface.co/ShaeNaZar/YsdaSummarizer/resolve/main/generation_config.json
- Command line
-
hf download hf://ShaeNaZar/YsdaSummarizer/generation_config.json
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curl -L -o generation_config.json https://huggingface.co/ShaeNaZar/YsdaSummarizer/resolve/main/generation_config.json
142 Bytes
| { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 2, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.50.3" | |
| } | |