Instructions to use AnonymousCS/populism_classifier_416 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_416 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_416")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_416") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_416", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3a07b3763e3ca795e8fdc0737739bba68364a5cba305c86efb1508bca75ee54
- Size of remote file:
- 5.43 kB
- SHA256:
- 88a93aef96e9be89c74acfbe31c0156c8ffbc475055ec6cf913d66c99f78d9c9
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