Instructions to use Rocky080808/finetuned-distilbert-base-uncased-finetuned-sst-2-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rocky080808/finetuned-distilbert-base-uncased-finetuned-sst-2-english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rocky080808/finetuned-distilbert-base-uncased-finetuned-sst-2-english")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Rocky080808/finetuned-distilbert-base-uncased-finetuned-sst-2-english") model = AutoModelForSequenceClassification.from_pretrained("Rocky080808/finetuned-distilbert-base-uncased-finetuned-sst-2-english") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0101ece2e6c36a04f07527e580aa6c106ee139b246661dfd042f09a1708efdce
- Size of remote file:
- 438 MB
- SHA256:
- f6e95bcbcb2b38b7780718393fd940cf5de175e21566c15037f3f8b33c83f018
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