Instructions to use Homer-Lin/bert_AIgenerated_2label with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Homer-Lin/bert_AIgenerated_2label with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Homer-Lin/bert_AIgenerated_2label")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Homer-Lin/bert_AIgenerated_2label") model = AutoModelForSequenceClassification.from_pretrained("Homer-Lin/bert_AIgenerated_2label", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7456e7934a07152e933a8305059e397296d793e41d4c4a05af9cb88076939e2f
- Size of remote file:
- 409 MB
- SHA256:
- 41979fa3730019a26169f16cc9c16a5e11793b07478b1a26f171314387e8fed3
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