Instructions to use bowipawan/bert-sentimental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bowipawan/bert-sentimental with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bowipawan/bert-sentimental")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bowipawan/bert-sentimental") model = AutoModelForSequenceClassification.from_pretrained("bowipawan/bert-sentimental", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11bac02e69e48c899a7aa6240af819cc5b6effd8fd100503b756170f36aefb79
- Size of remote file:
- 268 MB
- SHA256:
- 869f8a7115da6273bff91277e1113b33c72488e3c62a7c7f4f8e23b4e2bf8b23
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