Instructions to use hallisky/type-classifier-gpt4-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hallisky/type-classifier-gpt4-data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hallisky/type-classifier-gpt4-data")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hallisky/type-classifier-gpt4-data") model = AutoModelForSequenceClassification.from_pretrained("hallisky/type-classifier-gpt4-data") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a800b7e0bb2b29a03860787188d678482d2d740e55762357a0ed5a322f5d4233
- Size of remote file:
- 2.84 GB
- SHA256:
- aceae5388f1649af159b70064c707cea8531538367c689e8dcf022805c2d2b1b
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