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:
- 49ab7584dda5dea76c60b6a78b4586e237522306c3c4f08f19515bd70a600a1b
- Size of remote file:
- 2.67 kB
- SHA256:
- c152f8d6703bcfb25907ed7f88687985141b19e631a632e3a8923f6e07defe49
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