Instructions to use MaggieXShen/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MaggieXShen/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MaggieXShen/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MaggieXShen/results") model = AutoModelForSequenceClassification.from_pretrained("MaggieXShen/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac4f5c5cca973f88bf3de618f0c16da31761102de25d066bb6284a7f70f2f5e8
- Size of remote file:
- 499 MB
- SHA256:
- 9fe31daebacc055ce922d3c5ba31313602269acf91277d9917c4c0b9336587d5
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