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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f422d793f412d8b896d85c316218a4e70b7d5bcc825427d71596fe1a0bda00c
- Size of remote file:
- 1.84 kB
- SHA256:
- 3ff23c39bfebf28e3a250908facd0f0befde2af0bd4a33a5b98f6992aeb17d9c
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