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:
- 77b8e1b62befcc40bcb5be2a2e8f6d48acaf2bcf9c0b0006d67a894438e71dd8
- Size of remote file:
- 3.84 kB
- SHA256:
- 7d077630510b6ac759067062e918f3b97e42c8fbf6d9cf15c1ff321ebadb95ac
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