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:
- a00d0b3907f766ede19aca9eadf46eddb8bfa84d1fd025c0d7e0783daf682f08
- Size of remote file:
- 4.03 kB
- SHA256:
- 8e45f5d0dcc10b396ffb394315b0686ba8cc52c0262a296cac3b3be7ab82490a
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