Instructions to use erickdp/ssa_medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erickdp/ssa_medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="erickdp/ssa_medium")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("erickdp/ssa_medium") model = AutoModelForSequenceClassification.from_pretrained("erickdp/ssa_medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1439be4a211a6a7f7c212b17bd7d1038ea9c1bc025491faf35c2f882c6c70c5d
- Size of remote file:
- 4.86 kB
- SHA256:
- b6da6b0bba047e6bd73d025e0661a9e1189536114d61e809777ad374e5625f0a
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