Instructions to use adilhafeez/distilbert-base-uncased-finetuned-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adilhafeez/distilbert-base-uncased-finetuned-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adilhafeez/distilbert-base-uncased-finetuned-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adilhafeez/distilbert-base-uncased-finetuned-sst2") model = AutoModelForSequenceClassification.from_pretrained("adilhafeez/distilbert-base-uncased-finetuned-sst2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9615436151917be4f14d018de712aba085d8d4dd8221766721693e7b24fc754
- Size of remote file:
- 268 MB
- SHA256:
- fb4fd3f8debaa007dfe2b4a25c271352bd75e13eaee7a2a0b72e5f9b5c222b2e
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