Instructions to use m3tafl0ps/autonlp-NLPIsFun-251844 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m3tafl0ps/autonlp-NLPIsFun-251844 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="m3tafl0ps/autonlp-NLPIsFun-251844")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("m3tafl0ps/autonlp-NLPIsFun-251844") model = AutoModelForSequenceClassification.from_pretrained("m3tafl0ps/autonlp-NLPIsFun-251844") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ad3c25708d3ed040d019264abec6e3f5b0b996372d967bcffd28b3ef19dc606
- Size of remote file:
- 2.85 kB
- SHA256:
- b6e706d61b370d6cb2271ae7cba324e19054a46a93aef58e333c3d7fd36864e7
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