Instructions to use Maxinstellar/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maxinstellar/outputs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Maxinstellar/outputs")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Maxinstellar/outputs") model = AutoModelForSequenceClassification.from_pretrained("Maxinstellar/outputs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee24c12bfd887e9b2e6913fcb1b9667e171b0bd51882dd2f5afce377bc7fc62e
- Size of remote file:
- 711 MB
- SHA256:
- a33ac4ba537aebe5360da9c8c8ec135b9c0cf4a39e151d2915fc3d8b89e4a353
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