Instructions to use mfuntowicz/bert-base-cased-finetuned-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mfuntowicz/bert-base-cased-finetuned-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mfuntowicz/bert-base-cased-finetuned-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mfuntowicz/bert-base-cased-finetuned-sst2") model = AutoModelForSequenceClassification.from_pretrained("mfuntowicz/bert-base-cased-finetuned-sst2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a56a8c63586c2ad10c71505b0a69082b935572208edfc901fb8f622ed24692f3
- Size of remote file:
- 433 MB
- SHA256:
- deb59cf698ab69a073326a4f35b5cd0f7be582e315b04046a44f2c56b914d89d
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