Instructions to use temporary0-0name/sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use temporary0-0name/sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="temporary0-0name/sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("temporary0-0name/sst2") model = AutoModelForSequenceClassification.from_pretrained("temporary0-0name/sst2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c468fb88aacbe3c56992b434e5e86a5a9c1430ad65d875a9ab0d9aa0459ebb4a
- Size of remote file:
- 4.54 kB
- SHA256:
- 4de24e25b9b2add2c168341a96e4dcf578abdc41093d4746923cb6222c776951
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