Instructions to use chc-harvard/tiktok_comment_knowledge_reflection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chc-harvard/tiktok_comment_knowledge_reflection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chc-harvard/tiktok_comment_knowledge_reflection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chc-harvard/tiktok_comment_knowledge_reflection") model = AutoModelForSequenceClassification.from_pretrained("chc-harvard/tiktok_comment_knowledge_reflection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8087edbe3664415777bdd0fbdef4d2fcc3df8927dacf8e46105540518e1d664
- Size of remote file:
- 438 MB
- SHA256:
- ea38ecc9e36f030ef1a5542a2ce9ba513c8e4d1af84ec49819645f2465aeac0c
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