Instructions to use chc-harvard/tiktok_comment_knowledge_application with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chc-harvard/tiktok_comment_knowledge_application with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chc-harvard/tiktok_comment_knowledge_application")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chc-harvard/tiktok_comment_knowledge_application") model = AutoModelForSequenceClassification.from_pretrained("chc-harvard/tiktok_comment_knowledge_application", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0215c59619d1e4030407a2a12cb48b71e558eff11974d7286a8f5ca324120e6c
- Size of remote file:
- 438 MB
- SHA256:
- 8551124362afcf853b55d5c3c7b8f6998be1d5ae7750fc14a28851a0009a7353
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