Instructions to use Israhassan/EncoderDecoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Israhassan/EncoderDecoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Israhassan/EncoderDecoder")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Israhassan/EncoderDecoder") model = AutoModelForSequenceClassification.from_pretrained("Israhassan/EncoderDecoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3081c0ddbb50738a65057f3e9aa88c23e38bd7d90d126d727aaa2fad092a06e7
- Size of remote file:
- 1.63 GB
- SHA256:
- fae8830cb58373a612b59aa853228bb4aae56db872c8dc913333ebc9708443e4
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