Instructions to use Sauleh/workshopBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sauleh/workshopBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sauleh/workshopBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sauleh/workshopBERT") model = AutoModelForSequenceClassification.from_pretrained("Sauleh/workshopBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b97f92833abee42d54f585f4a648595f6ceeb8cb34e9174fa384ba570645086
- Size of remote file:
- 433 MB
- SHA256:
- 25c4591c6cd4dd632ad6313593869af6904c6eaa8428785fa4842a2f0edff2c1
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