Instructions to use Jasim9085/bart-autoencoder-thought-vector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jasim9085/bart-autoencoder-thought-vector with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jasim9085/bart-autoencoder-thought-vector") model = AutoModelForSeq2SeqLM.from_pretrained("Jasim9085/bart-autoencoder-thought-vector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Training in progress, step 2836, checkpoint
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Training in progress, step 2836, checkpoint
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Training in progress, step 2000, checkpoint
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Training in progress, step 1000, checkpoint
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