Instructions to use apatidar0/conversation-summ_longformer_bart_like with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apatidar0/conversation-summ_longformer_bart_like with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("apatidar0/conversation-summ_longformer_bart_like") model = AutoModelForSeq2SeqLM.from_pretrained("apatidar0/conversation-summ_longformer_bart_like") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d334a3c14fae228be35315ec2798c5a1fc1c643324378b230d3c46080d00b84
- Size of remote file:
- 3.64 kB
- SHA256:
- 201aa54dbd5bb1c904c26e00caf0d28cb95ce06655bf61f21b989bce856f4136
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