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:
- b38cc3c98f8ed90a3c11fd1c739abd354bc36fc5b7a36eb80ed650ba0c397a37
- Size of remote file:
- 1.49 kB
- SHA256:
- 3d94cc61175be8d4133b14d51c6afda6ddaea45ec747b038c380bd66360b3974
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