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:
- dac462384b1f35c73d088801b257b970bf51508507f1459ea3db8e2840499a06
- Size of remote file:
- 2.86 kB
- SHA256:
- 83339a241d67010dadc1bbc84759d64682e187b0084f5ff2c80e6e306e99ff05
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