Instructions to use daniel-gordon/trial-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daniel-gordon/trial-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="daniel-gordon/trial-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("daniel-gordon/trial-model") model = AutoModelForSequenceClassification.from_pretrained("daniel-gordon/trial-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3cd75e175d11e79bde99139d3eaca8982758db8326703960328b18c2f843cea7
- Size of remote file:
- 499 MB
- SHA256:
- 1d445e2cf84f30f3ded14e799d658ee77527d7baf7574880e44526960cef6b52
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