Instructions to use Jasim9085/bart-autoencoder-thought-vector-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jasim9085/bart-autoencoder-thought-vector-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jasim9085/bart-autoencoder-thought-vector-v2") model = AutoModelForSeq2SeqLM.from_pretrained("Jasim9085/bart-autoencoder-thought-vector-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add missing tokenizer files from v1 to complete the model
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End of training
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Training in progress, step 1000
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initial commit
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