Instructions to use Atmanstr/Flan-Summarybot-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Atmanstr/Flan-Summarybot-finetuned with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large") model = PeftModel.from_pretrained(base_model, "Atmanstr/Flan-Summarybot-finetuned") - Transformers
How to use Atmanstr/Flan-Summarybot-finetuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Atmanstr/Flan-Summarybot-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Atmanstr/Flan-Summarybot-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/Atmanstr/Flan-Summarybot-finetuned/resolve/main/tokenizer.json
- Command line
-
hf download hf://Atmanstr/Flan-Summarybot-finetuned/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Atmanstr/Flan-Summarybot-finetuned/resolve/main/tokenizer.json
2.42 MB
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