Instructions to use Kyle1668/boss-sentiment-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kyle1668/boss-sentiment-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kyle1668/boss-sentiment-bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kyle1668/boss-sentiment-bert-base-uncased") model = AutoModelForSequenceClassification.from_pretrained("Kyle1668/boss-sentiment-bert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18d5ef88b7c55c1162dd44d54e32fcbe071923e671d1f55fc51373b05dd7e537
- Size of remote file:
- 438 MB
- SHA256:
- 837e15bc3a1bda6554ea4e530fc7170c927e9c55388dc488a7d96ca1073878c8
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