Transformers
PyTorch
ONNX
Safetensors
bart
text2text-generation
Generated from Trainer
alpaca
self-instruct
instruction generation
instructiongen
Eval Results (legacy)
Instructions to use pszemraj/bart-base-instructiongen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pszemraj/bart-base-instructiongen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pszemraj/bart-base-instructiongen") model = AutoModelForSeq2SeqLM.from_pretrained("pszemraj/bart-base-instructiongen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17696de041517496088a4c30f1b0b83f1b563ccaa000e16059bd33b624a6162a
- Size of remote file:
- 558 MB
- SHA256:
- fb7760efb45194d2bd72eac08e2bbc5c81bc4473d1d40bcd5d540911723a0e2c
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