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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bde7dbcec107d6913c8ca6b324d2f30efb256c907050fce9a55e42264bfb44bd
- Size of remote file:
- 648 MB
- SHA256:
- 7af71babbd22675b8d7bb29d6fa913c63d01ff4681dc4933fcf237d628114421
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