Instructions to use dolgae03/Bert_Phase_classfication with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dolgae03/Bert_Phase_classfication with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dolgae03/Bert_Phase_classfication")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dolgae03/Bert_Phase_classfication") model = AutoModelForSequenceClassification.from_pretrained("dolgae03/Bert_Phase_classfication", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bba01a1d39ea94b30d851acd87b39b91eaf06129451bbfce9e119b2fba558bd6
- Size of remote file:
- 433 MB
- SHA256:
- 51adb4e641e99ec0c788923431f12432ee888ae8c06c61855eca5aab36822db2
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