Instructions to use dima806/chatgpt-tweets-engagement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dima806/chatgpt-tweets-engagement with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dima806/chatgpt-tweets-engagement")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dima806/chatgpt-tweets-engagement") model = AutoModelForSequenceClassification.from_pretrained("dima806/chatgpt-tweets-engagement", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 705b1d82069a333bc74ecf1107432c3238683411f230004e4e01ac2c5dfd0167
- Size of remote file:
- 3.52 kB
- SHA256:
- 5f693a9fdac3d1116012df4009fbaf74272433ff6306bfbaf5edff79598ed7ae
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