Transformers
PyTorch
TensorBoard
Safetensors
switch_transformers
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use emre/switch-base-8-finetuned-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emre/switch-base-8-finetuned-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("emre/switch-base-8-finetuned-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("emre/switch-base-8-finetuned-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d27ce3666d4f58c9deee911affb2e37fce1c713928ab4b9bdc41e9247947810
- Size of remote file:
- 2.48 GB
- SHA256:
- 30029297c6af9ad853d54c85d4acf970fcb06f936661aef13e36437de5c5673b
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