Instructions to use EN3S/NLP_assignment_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EN3S/NLP_assignment_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EN3S/NLP_assignment_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EN3S/NLP_assignment_2") model = AutoModelForSequenceClassification.from_pretrained("EN3S/NLP_assignment_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 317d574d6e3822a3781e1ac78868dbc8536918f0fd012dff691a285ff0160f1a
- Size of remote file:
- 438 MB
- SHA256:
- d2ca2df9d6b346373f4b59b6ae0c9aae4d507e64e0f3609febdc467b8ed5cb96
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