Instructions to use Somesh140/example-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Somesh140/example-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Somesh140/example-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Somesh140/example-model") model = AutoModelForSequenceClassification.from_pretrained("Somesh140/example-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9cbd42327e0e0d3464d23b9a1e572fc26622e79c37de9365208f35d6060ca6bc
- Size of remote file:
- 438 MB
- SHA256:
- 6310e340a53d3a21f60d3d4a91360a41e2f1473c1e1cbbd1ab8cbe192efdf09e
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