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)# pip install -U transformers accelerate # 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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update readme.md, add context
f9979bb
-
add context encoder
00987d5
-
Update README.md
Verified signaturedb04785 -
Update README.md
Verified signature439a4dd -
Add new file
be52a7a -
initial commit
Verified signature0bbb0d4