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")# pip install -U transformers accelerate # 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
Download tokenizer.json from chc-harvard/tiktok_comment_knowledge_application: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/chc-harvard/tiktok_comment_knowledge_application/resolve/main/tokenizer.json
- Command line
-
hf download hf://chc-harvard/tiktok_comment_knowledge_application/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/chc-harvard/tiktok_comment_knowledge_application/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.