Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use dross20/summarization_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dross20/summarization_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dross20/summarization_model") model = AutoModelForSeq2SeqLM.from_pretrained("dross20/summarization_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb5beb20188cc39f4470ab238da63c6ceb591f0113cc62cb45574dfffb7e0faf
- Size of remote file:
- 242 MB
- SHA256:
- 4e3042bae2d74bc6e276c5e948f253019a34047888466c6426c2a4c2dba18260
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