Instructions to use tulayaka/loadtest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tulayaka/loadtest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tulayaka/loadtest")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tulayaka/loadtest") model = AutoModelForSequenceClassification.from_pretrained("tulayaka/loadtest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload model.2.pth
Browse files- model.2.pth +3 -0
model.2.pth
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oid sha256:66fc71d5eb4c64e46772dd3ea36d4dbae53dbec7c805fbef494fc332f79ff552
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size 928
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