Instructions to use gohjiayi/suicidal-electra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gohjiayi/suicidal-electra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gohjiayi/suicidal-electra")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gohjiayi/suicidal-electra") model = AutoModelForSequenceClassification.from_pretrained("gohjiayi/suicidal-electra") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c225645deffb3ff06d910d3517a4d324763d43e792fa639a45d5ea9b6ace72ac
- Size of remote file:
- 2.8 kB
- SHA256:
- db95c306fdbdef8bbda00a6353e7195dd4495eac65edb2e9017a45a221628987
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.