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:
- d198e88e6065e9224462b867231975b0b9bf8efb37a4fea603136038f7d96e07
- Size of remote file:
- 268 MB
- SHA256:
- 61cf7b3f616b17edaaabc0802df012cc53b772face3a629d550add0e26312bd1
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