Instructions to use Sam4rano/nollysenti_classifier_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sam4rano/nollysenti_classifier_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sam4rano/nollysenti_classifier_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sam4rano/nollysenti_classifier_v2") model = AutoModelForSequenceClassification.from_pretrained("Sam4rano/nollysenti_classifier_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b5a61ab135682fce60b4cb184d5923afff2783a8436e6875a182befa93dcab5
- Size of remote file:
- 711 MB
- SHA256:
- ec03aa1674bfe0b7e47a049504086202cde1c403654abed41d8eca93d0e0d863
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