Instructions to use hriaz/finetuned_beliefs_sentiment_classifier_experiment1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hriaz/finetuned_beliefs_sentiment_classifier_experiment1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hriaz/finetuned_beliefs_sentiment_classifier_experiment1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hriaz/finetuned_beliefs_sentiment_classifier_experiment1") model = AutoModelForSequenceClassification.from_pretrained("hriaz/finetuned_beliefs_sentiment_classifier_experiment1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e54516216547fdac4bb66842cddfa2ddda3a5aa5b22b5308dedefdcf3c96d34b
- Size of remote file:
- 3.64 kB
- SHA256:
- afb2fa3cc6065805fc84d52aa83dc52825d0f60b7ee2acd0bc28424710dec595
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