Instructions to use NitzanBar/t5_long with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NitzanBar/t5_long with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NitzanBar/t5_long") model = AutoModelForSeq2SeqLM.from_pretrained("NitzanBar/t5_long", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e40c9977883cb151f91f4c045d88c5c451880f5dba47cc1dc8306ec7fccca94
- Size of remote file:
- 3.13 GB
- SHA256:
- a06b9c18ff88e43b490add6991d28fd6cb8bfd9c66a05715552ebdda7d5295ff
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