Instructions to use YakovElm/IntelDAOS5_ElectraModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YakovElm/IntelDAOS5_ElectraModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YakovElm/IntelDAOS5_ElectraModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YakovElm/IntelDAOS5_ElectraModel") model = AutoModelForSequenceClassification.from_pretrained("YakovElm/IntelDAOS5_ElectraModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19f90fd4a7b9cf477e4529d1b59f8ec84aa32181607396839002a035f063a648
- Size of remote file:
- 438 MB
- SHA256:
- 8268bc8bc5c82f0139609d363bf013e718c0051e873feaec7236867c36570f20
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