Instructions to use Aktsvigun/bart-base_tapt_email1e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktsvigun/bart-base_tapt_email1e4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/bart-base_tapt_email1e4") model = AutoModelForSeq2SeqLM.from_pretrained("Aktsvigun/bart-base_tapt_email1e4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba5003e7f5f3f54d36a630badde536a67e0e15f038f384ebf5fb7a260c9db57d
- Size of remote file:
- 558 MB
- SHA256:
- 0aa582e69cd597eda9ce676821252ead3dac9245bd958288496ff7bbdbe3bccf
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