Instructions to use NPCProgrammer/tweet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NPCProgrammer/tweet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NPCProgrammer/tweet")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NPCProgrammer/tweet") model = AutoModelForSequenceClassification.from_pretrained("NPCProgrammer/tweet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 511b439e1b1961facaf588e52b5e24b40fa738e4e682e35f5b71e1d31778656d
- Size of remote file:
- 4.86 kB
- SHA256:
- 3a3340226d4e646979a4c29c86b395f9bc996f56c1b4aa544d48692e31ffabaf
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