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:
- 80d3ae295cbb79eeb436a2c56409d845fc0237e102dfd9d9ff10ddb3b265deec
- Size of remote file:
- 4.73 kB
- SHA256:
- e2aa49c6fc05f4c2f06b5feb0bc85936e3159e45e31c1d2fa97c276b500ef587
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