Instructions to use PubChimps/dl-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PubChimps/dl-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PubChimps/dl-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PubChimps/dl-bert") model = AutoModelForSequenceClassification.from_pretrained("PubChimps/dl-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffc5e7e174a0bcc92e316aefca9771929bb1462c16831ba24a3b1bfaa832a85d
- Size of remote file:
- 334 MB
- SHA256:
- 4b8e80eb2f71a3dd488329cf2f93b21d1908dabf7697b2c7d13d6eaf7fcf7cb2
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