Instructions to use YakovElm/IntelDAOS10_ElectraModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YakovElm/IntelDAOS10_ElectraModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YakovElm/IntelDAOS10_ElectraModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YakovElm/IntelDAOS10_ElectraModel") model = AutoModelForSequenceClassification.from_pretrained("YakovElm/IntelDAOS10_ElectraModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdadfe53f5afdbed35e7830ef8a4861b8ab75cc158e99346c3af5812a2ccbd1a
- Size of remote file:
- 438 MB
- SHA256:
- b9d68c384bc3a8cc2dde34443bd755561a28a6fb768503b4674838e4b53fc09c
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