Instructions to use echarlaix/bert-base-uncased-sst2-static-quant-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use echarlaix/bert-base-uncased-sst2-static-quant-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="echarlaix/bert-base-uncased-sst2-static-quant-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("echarlaix/bert-base-uncased-sst2-static-quant-test") model = AutoModelForSequenceClassification.from_pretrained("echarlaix/bert-base-uncased-sst2-static-quant-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad958ac96e396e9cd9633f8c3d7e649ac1f24104b30e32fba145837ca7c1e1a2
- Size of remote file:
- 183 MB
- SHA256:
- 179044d0850f8afbccb6984920932163008d58888bad9c938d7d26ea548f936b
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