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
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README.md
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pipeline_tag: text-classification
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library_name: transformers
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tags:
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- not-for-all-audiences
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---
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# BertForStorySkillClassification
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- google-bert/bert-base-uncased
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pipeline_tag: text-classification
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library_name: transformers
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---
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# BertForStorySkillClassification
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