Instructions to use curious008/BertForStorySkillClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use curious008/BertForStorySkillClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="curious008/BertForStorySkillClassification", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("curious008/BertForStorySkillClassification", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("curious008/BertForStorySkillClassification", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
add context encoder
Browse files- pytorch_model.bin +2 -2
pytorch_model.bin
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