Instructions to use theWitcher/new-dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theWitcher/new-dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="theWitcher/new-dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("theWitcher/new-dummy-model") model = AutoModelForSequenceClassification.from_pretrained("theWitcher/new-dummy-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f960ab174a89eb4fb5f669330a78ef1b555d786cb3492f6cf6e527f119921f8
- Size of remote file:
- 268 MB
- SHA256:
- b44df675bb34ccd8e57c14292c811ac7358b7c8e37c7f212745f640cd6019ac8
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