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
Rendering notebook...
- Xet hash:
- eeaf0d61a4ead420f10ecbdd8010f889a93dcc06dc8447641ee8c3902a4a612d
- Size of remote file:
- 11.9 MB
- SHA256:
- 637ace94189c0d026844719de15c99b1ccc01e35cc58b698974847db12e3b5f9
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