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") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a33ac4ba537aebe5360da9c8c8ec135b9c0cf4a39e151d2915fc3d8b89e4a353
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size 711483807
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