Instructions to use valpy/prompt-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valpy/prompt-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="valpy/prompt-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("valpy/prompt-classification") model = AutoModelForSequenceClassification.from_pretrained("valpy/prompt-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 743e59170914ae4595efe61ac0796d1953483d3aed45f03e7de0daf5dccc0eda
- Size of remote file:
- 1.74 GB
- SHA256:
- add34ffe23d99efe60e3e6b3a2770f050e647e5c3c6644f7d48a39d2aa03e9e8
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